{"id":"W2349232651","doi":"","title":"Study on Neurobehavioral Ability Indexes and their Application","year":2001,"lang":"en","type":"article","venue":"","topic":"Advanced Decision-Making Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Adjective; Index (typography); Psychology; Statistics; Cognitive psychology; Econometrics; Mathematics; Computer science; Natural language processing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002038498,0.00009298388,0.00009109534,0.00006037506,0.00007114033,0.0000656296,0.0004381729,0.0000263819,0.00000203213],"category_scores_gemma":[0.00002964237,0.00006579677,0.00001598848,0.0002262102,0.000026318,0.0002531458,0.0002675023,0.00008504373,0.000007776629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002011986,"about_ca_system_score_gemma":0.000006483797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001633354,"about_ca_topic_score_gemma":0.00001255499,"domain_scores_codex":[0.9991873,0.00004112948,0.0001309021,0.0003976621,0.0001364286,0.0001065962],"domain_scores_gemma":[0.9989817,0.0001108109,0.0000392926,0.000792475,0.00003761564,0.0000380741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00001111174,0.0006513786,0.1067178,6.757669e-7,0.000001573188,0.00001073142,0.0005639513,0.00001637876,0.001977266,0.01686052,0.00008513996,0.8731035],"study_design_scores_gemma":[0.0003489112,0.001043429,0.7889889,0.000007699713,0.00000266556,0.00004016446,0.0001634028,0.006118253,0.005093746,0.1956027,0.002262876,0.0003273002],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4640142,0.000002811,0.5349752,0.000110519,0.00001654952,0.0002302716,1.485423e-7,0.0003240379,0.0003262134],"genre_scores_gemma":[0.9690508,0.000002157682,0.03070712,0.0001633665,0.000009589615,0.00004252775,1.476783e-7,0.000004524863,0.00001973735],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8727762,"threshold_uncertainty_score":0.2683114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03730110453051522,"score_gpt":0.3392802497710679,"score_spread":0.3019791452405526,"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."}}