{"id":"W4249793420","doi":"10.1017/s0008423915001171","title":"CJP volume 48 issue 3 Cover and Front matter","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Political Science","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École Nationale d'Administration Publique","funders":"","keywords":"Cover (algebra); Front cover; Volume (thermodynamics); Front (military); Action (physics); Computer science; Operations research; Mathematics; Geography; Engineering; Physics; Meteorology; Mechanical engineering; Thermodynamics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009447622,0.0009621324,0.0007690679,0.002749224,0.002344477,0.007302439,0.001006729,0.002726198,0.8583149],"category_scores_gemma":[0.003828003,0.0003804106,0.0006658371,0.001930637,0.0008344782,0.001831728,0.001767899,0.002498957,0.7654697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002183136,"about_ca_system_score_gemma":0.003588283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00630331,"about_ca_topic_score_gemma":0.01057726,"domain_scores_codex":[0.9989742,0.00004338983,0.00003084976,0.0001344038,0.0007023534,0.0001147739],"domain_scores_gemma":[0.9966534,0.0002935818,0.00007907194,0.0003293873,0.001635118,0.001009459],"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":[0.00001359494,0.00002382489,0.00007937267,0.00005672168,0.000001926768,0.00003308004,0.000006146528,0.00001842369,0.0001894495,0.00072614,0.9739545,0.02489674],"study_design_scores_gemma":[0.000006032054,0.000007017387,0.0005947375,0.00006072826,0.000001800725,0.00006767533,0.00001847702,0.00005561419,0.0001498558,0.0003753544,0.9986584,0.000004217065],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006542192,0.001794496,0.0004467022,0.007785467,0.02472431,0.0001123289,0.002388151,0.001369022,0.9607254],"genre_scores_gemma":[0.002225987,0.001077381,0.0002940051,0.001745544,0.004050283,0.00002901892,0.0009275204,0.000413451,0.9892369],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1416851,"threshold_uncertainty_score":0.2020966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03607727091443064,"score_gpt":0.2151607194614147,"score_spread":0.1790834485469841,"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."}}