{"id":"W37068719","doi":"10.1016/j.neuroimage.2023.120119","title":"Potential Micro Launcher VLM","year":2012,"lang":"en","type":"article","venue":"NeuroImage","topic":"Spacecraft Design and Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Department of Psychiatry, University of Toronto; Health Resources and Services Administration; Alberta Innovates; National Institute of Mental Health; Ontario Brain Institute; Hospital for Sick Children; Canadian Institutes of Health Research; Centre for Addiction and Mental Health Foundation; Azrieli Foundation; Autism Speaks; University of Toronto; National Institutes of Health; Queen's University; Fondation Brain Canada; Holland Bloorview Kids Rehabilitation Hospital Foundation; Lawson Health Research Institute","keywords":"Payload (computing); Propellant; Aeronautics; Aerospace engineering; Parametric statistics; Engineering; Space launch; Stage (stratigraphy); Launch vehicle; Environmental science; Automotive engineering; Computer science; Geology; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003892672,0.00008915168,0.00007687174,0.00005415414,0.00002028814,0.00001233747,0.00009607078,0.00007379625,0.0002655864],"category_scores_gemma":[0.00001063755,0.00009091874,0.00003474789,0.0000844199,0.00002426141,0.00009627776,0.00002307842,0.0001583775,0.0007202164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001165433,"about_ca_system_score_gemma":0.000002096827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002033967,"about_ca_topic_score_gemma":4.765326e-7,"domain_scores_codex":[0.9995029,0.000009502014,0.00006739034,0.00007853666,0.00005535937,0.0002863299],"domain_scores_gemma":[0.9997309,0.000008935301,0.000006989089,0.0001903539,0.000006591448,0.00005626499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00000197307,0.00001947856,0.001940793,0.000009934966,0.000008614321,0.0000267288,0.00003525831,0.00002517982,0.9696891,0.0002008393,0.0249875,0.003054617],"study_design_scores_gemma":[0.0007390638,0.00005055264,0.05984762,0.000007170858,0.00004027192,0.000259333,0.0000347494,0.003363778,0.5250221,0.0002719674,0.4098257,0.0005376296],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9513676,0.0008340568,0.009483127,0.0002398837,0.001582351,0.0001140606,0.00000411298,0.001604563,0.03477023],"genre_scores_gemma":[0.997848,0.00002214793,0.001063244,0.0001371955,0.0001757731,0.000005164618,0.000001666451,0.00003463353,0.0007121548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.444667,"threshold_uncertainty_score":0.9257165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009052258811999779,"score_gpt":0.2003337430346431,"score_spread":0.1912814842226433,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}