{"id":"W4243266268","doi":"10.1017/cls.2014.22","title":"CLS volume 29 issue 3 Cover and Front matter","year":2014,"lang":"fr","type":"article","venue":"Canadian Journal of Law and Society / Revue Canadienne Droit et Société","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto; University of Cambridge; McGill University","keywords":"Front cover; Cover (algebra); CLs upper limits; Volume (thermodynamics); Front (military); Action (physics); Content (measure theory); Computer science; Physics; Engineering; Medicine; Mathematics; Mechanical engineering; Thermodynamics; Meteorology; Optometry","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001891091,0.001105869,0.0009697792,0.005757822,0.002956733,0.01083804,0.001600752,0.003237386,0.8705123],"category_scores_gemma":[0.007783673,0.0005550359,0.0009500206,0.003342527,0.001276084,0.003169977,0.003484278,0.002300574,0.8171586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004366511,"about_ca_system_score_gemma":0.004914951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01419879,"about_ca_topic_score_gemma":0.0234216,"domain_scores_codex":[0.997715,0.0001504494,0.00009749449,0.0002689166,0.001536127,0.0002320289],"domain_scores_gemma":[0.9940673,0.0006671353,0.0001432648,0.0008872834,0.003067422,0.001167561],"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":[0.0000121935,0.00001786081,0.0001231935,0.00006013352,0.000001896612,0.00003823534,0.00001825924,0.00002913411,0.0001689759,0.002045011,0.9727954,0.02468979],"study_design_scores_gemma":[0.000005333456,0.00000512956,0.000289569,0.00008634779,0.000001140595,0.00004500299,0.00003075316,0.00006875461,0.0001123533,0.0006728292,0.998678,0.000004882441],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006031604,0.0008197412,0.0008367793,0.005471434,0.007398199,0.0001226136,0.005397208,0.003312217,0.9760386],"genre_scores_gemma":[0.002097104,0.0005093655,0.0003911495,0.001395158,0.001389099,0.00003491412,0.002659164,0.000996721,0.9905273],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1294877,"threshold_uncertainty_score":0.1846985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01393217259602054,"score_gpt":0.1976987860988104,"score_spread":0.1837666135027899,"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."}}