{"id":"W6929155856","doi":"10.4224/8895469","title":"Preliminary software implementation of cone in ice model","year":2006,"lang":"en","type":"report","venue":"NPARC","topic":"Hemispheric Asymmetry in Neuroscience","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"MATLAB; Software; Graphical user interface; Cone (formal languages); Field (mathematics); Interface (matter); Software development","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0004440628,0.000623192,0.000528532,0.0005804653,0.0003322968,0.0007785633,0.001604694,0.0005321905,0.02845591],"category_scores_gemma":[0.002142683,0.0004236394,0.0006701681,0.0004161349,0.0001727247,0.0008729122,0.0006845258,0.0007637267,0.01182891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004009603,"about_ca_system_score_gemma":0.0009127833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003467779,"about_ca_topic_score_gemma":0.002675528,"domain_scores_codex":[0.9996153,0.000040509,0.00003736308,0.0000716853,0.000191739,0.00004327246],"domain_scores_gemma":[0.9992847,0.0001492566,0.00003366488,0.0001056859,0.0003898968,0.00003684881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006764847,0.0003171815,0.005409432,0.001173388,0.0001215973,0.002157546,0.0007869093,0.2697258,0.08463997,0.08393137,0.1226814,0.4283789],"study_design_scores_gemma":[0.0001015048,0.0001192152,0.0009228502,0.00009331606,0.00002623046,0.0008215671,0.00005696935,0.8154525,0.03909601,0.0112441,0.1320028,0.00006289151],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003614869,0.0000696878,0.9680695,0.00008023465,0.00007556564,0.0001260032,0.001089929,0.0169268,0.009947245],"genre_scores_gemma":[0.1568128,0.0004376862,0.8023292,0.0001577673,0.0000705277,0.0008195504,0.004693825,0.007434419,0.02724425],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02845591,"threshold_uncertainty_score":0.09519452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05662130202287653,"score_gpt":0.3460151081579641,"score_spread":0.2893938061350876,"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."}}