{"id":"W4385722221","doi":"10.59962/9780774823081-fm","title":"Front Matter","year":2012,"lang":"en","type":"paratext","venue":"University of British Columbia Press eBooks","topic":"Law in Society and Culture","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Global Affairs Canada","funders":"","keywords":"Front (military); Physics; Meteorology","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":[0.0004282307,0.00104722,0.000919662,0.001343647,0.002736351,0.008144426,0.001292357,0.005418701,0.9317402],"category_scores_gemma":[0.002361494,0.0003674187,0.0005569017,0.001214356,0.001292834,0.003098302,0.002809277,0.002649965,0.8984061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001464757,"about_ca_system_score_gemma":0.001824463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002978613,"about_ca_topic_score_gemma":0.006758699,"domain_scores_codex":[0.9991632,0.00005792083,0.00003515918,0.000241366,0.0003674003,0.0001349696],"domain_scores_gemma":[0.9989086,0.00018234,0.00005953922,0.0001466642,0.0003444708,0.0003583453],"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":[0.00004351286,0.00004130375,0.0003321687,0.0002677539,0.00000565907,0.0001672539,0.0001056776,0.00005388422,0.0006005946,0.01032701,0.8330804,0.1549748],"study_design_scores_gemma":[0.000004052998,0.000005935591,0.000257621,0.00008898933,0.000001064498,0.00005315398,0.00006735511,0.00002788241,0.0000762695,0.0007454206,0.9986696,0.000002521719],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002966964,0.0008217659,0.0002165213,0.002958384,0.001572092,0.00002911159,0.0009308089,0.0003897295,0.9927849],"genre_scores_gemma":[0.001288015,0.0005320719,0.0001030164,0.0009926916,0.0002534651,0.00001178287,0.0003668595,0.0001222294,0.99633],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06825978,"threshold_uncertainty_score":0.09736431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01494640021672999,"score_gpt":0.2133439697986871,"score_spread":0.1983975695819571,"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."}}