{"id":"W4244237537","doi":"10.1017/s0317167100049921","title":"CJN volume 33 issue 4 Cover and Front matter","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Front cover; Front (military); Cover (algebra); Volume (thermodynamics); Action (physics); Environmental science; Computer science; Geography; Meteorology; Engineering; Physics; Mechanical engineering; Thermodynamics","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007989758,0.0008138732,0.0007842623,0.002195576,0.001738564,0.003805002,0.000818307,0.001950778,0.7845542],"category_scores_gemma":[0.003152883,0.0002538689,0.0004538839,0.001088973,0.0006396369,0.00116523,0.00108973,0.001625738,0.5750488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002111278,"about_ca_system_score_gemma":0.002877031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007619786,"about_ca_topic_score_gemma":0.02072914,"domain_scores_codex":[0.9993041,0.0000456017,0.00003152677,0.00008659527,0.0004429559,0.00008920474],"domain_scores_gemma":[0.9975043,0.0002270871,0.00005800173,0.000135679,0.001190726,0.000884197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003128912,0.00004022859,0.0002542901,0.00009411795,0.000003937233,0.000102114,0.00001146061,0.00003254628,0.0002294256,0.0007320311,0.9509816,0.04748698],"study_design_scores_gemma":[0.00001089426,0.00001126116,0.001184537,0.0001031055,0.00000309013,0.0002151623,0.00003025315,0.00007873472,0.0001483355,0.0003803929,0.9978284,0.000005760875],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001646152,0.004017141,0.0003641194,0.01048126,0.03305554,0.0001151965,0.001564526,0.0005798585,0.9481761],"genre_scores_gemma":[0.00325224,0.001995809,0.0003421847,0.001811526,0.004164119,0.00002864165,0.0007505729,0.0001675425,0.9874874],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2154458,"threshold_uncertainty_score":0.3073073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02844072244293463,"score_gpt":0.2052242637354489,"score_spread":0.1767835412925143,"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."}}