{"id":"W4242791994","doi":"10.1017/cjlj.2018.21","title":"CJL volume 31 issue 2 Cover and Front matter","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Law & Jurisprudence","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Front cover; Front (military); Cover (algebra); Volume (thermodynamics); Action (physics); Content (measure theory); Environmental science; Computer science; Engineering; Geography; Meteorology; Physics; Mathematics; Mechanical engineering; Thermodynamics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001314987,0.0009169413,0.0009540693,0.004661619,0.003728012,0.009803941,0.001477846,0.004062963,0.8620049],"category_scores_gemma":[0.004847822,0.00047304,0.000876674,0.002881521,0.001167643,0.002679075,0.002440779,0.002619484,0.7591742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004745848,"about_ca_system_score_gemma":0.006207805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01860608,"about_ca_topic_score_gemma":0.04248326,"domain_scores_codex":[0.9980174,0.00009043547,0.00006198692,0.0002047572,0.001395774,0.0002296426],"domain_scores_gemma":[0.9952277,0.0004291386,0.0001244603,0.0003779254,0.002400299,0.001440438],"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":[0.00001259211,0.00002843609,0.00008595559,0.00007011311,0.000002052327,0.00003856897,0.0000115509,0.00002524412,0.000168186,0.001415533,0.9707397,0.02740199],"study_design_scores_gemma":[0.000005853326,0.000005871776,0.0004356398,0.00007121439,0.000001525688,0.0000360717,0.00002806246,0.00006244404,0.00007564605,0.0004928992,0.9987796,0.000005118031],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004267543,0.001762709,0.0002466686,0.006913397,0.01704944,0.0001101879,0.001478087,0.0007159252,0.9712967],"genre_scores_gemma":[0.001381334,0.0006650154,0.0001688341,0.001755294,0.002871127,0.00001816506,0.0005631423,0.00023098,0.9923459],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1379951,"threshold_uncertainty_score":0.1968332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02042053545512268,"score_gpt":0.2057351081726375,"score_spread":0.1853145727175148,"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."}}