{"id":"W4214482566","doi":"10.1002/9781119371199.fmatter1","title":"Front Matter","year":2019,"lang":"en","type":"paratext","venue":"","topic":"Livestock and Poultry Management","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Title page; Front page; Table of contents; Front (military); Library science; Table (database); History; Computer science; World Wide Web; Geography; Database; Media studies; Sociology; 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":[0.0004448759,0.00105081,0.0007500809,0.001117088,0.0009564123,0.004527875,0.0007891118,0.002568835,0.9086171],"category_scores_gemma":[0.001491241,0.0003038227,0.0004568445,0.0009599947,0.0006053991,0.001768721,0.001481289,0.001468195,0.8914075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007740917,"about_ca_system_score_gemma":0.001081417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00134986,"about_ca_topic_score_gemma":0.002397755,"domain_scores_codex":[0.9996127,0.00002553013,0.0000221555,0.0001346909,0.00013895,0.00006592427],"domain_scores_gemma":[0.9990238,0.0001393078,0.0000541452,0.0001001968,0.000361673,0.0003208096],"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":[0.00007990626,0.0000641673,0.0003703567,0.0004013309,0.000007010649,0.0001204149,0.00004147491,0.0000510952,0.001468759,0.004742288,0.6626308,0.3300224],"study_design_scores_gemma":[0.000004934464,0.0000126457,0.0003487864,0.00008609294,0.000001179108,0.00005645489,0.00002807566,0.00001756572,0.0000986224,0.0003036527,0.9990397,0.000002262474],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005859045,0.003472255,0.0004777423,0.003986802,0.01285323,0.00007868534,0.00190913,0.0004804806,0.9761558],"genre_scores_gemma":[0.001003368,0.001339225,0.0001788299,0.0009658579,0.000837443,0.00001651066,0.0005572998,0.00007796624,0.9950235],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09138286,"threshold_uncertainty_score":0.1303465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01653555600397562,"score_gpt":0.2129547951907947,"score_spread":0.1964192391868191,"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."}}