{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002815049,0.0006956682,0.0005088574,0.0008735983,0.0007813628,0.001883483,0.001232383,0.0009584224,0.01438135],"category_scores_gemma":[0.008673604,0.0003538539,0.0004194106,0.0006619153,0.0007323359,0.00196957,0.001428149,0.00080332,0.003259344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00143181,"about_ca_system_score_gemma":0.001003273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001905529,"about_ca_topic_score_gemma":0.002641629,"domain_scores_codex":[0.9986382,0.000328398,0.00005845237,0.0002133581,0.0005633117,0.0001981853],"domain_scores_gemma":[0.99492,0.002336441,0.0005963737,0.0007445521,0.001202974,0.0001996467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002984465,0.0002573096,0.08434848,0.001013971,0.0003160294,0.002435377,0.001604022,0.04311647,0.1585968,0.03469873,0.02478282,0.6458456],"study_design_scores_gemma":[0.0003303119,0.003745588,0.06630738,0.0005842177,0.000555504,0.004276142,0.002672845,0.2302917,0.4034941,0.02929141,0.2580648,0.0003859761],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3621631,0.003759626,0.5593328,0.005852513,0.001300411,0.0007069721,0.001241665,0.01135022,0.05429272],"genre_scores_gemma":[0.9129923,0.000524135,0.06841189,0.001111158,0.0001284633,0.000244952,0.0005271729,0.0007613664,0.01529854],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01438135,"threshold_uncertainty_score":0.04811043,"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."}}