{"id":"W4385593155","doi":"10.59962/9780774890120-fm","title":"Front Matter","year":2018,"lang":"en","type":"paratext","venue":"University of British Columbia Press eBooks","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Canada Council for the Arts; Government of Canada","keywords":"Front (military); Physics; Meteorology","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":[0.0005484853,0.001762819,0.0009496074,0.002147613,0.003998498,0.009566702,0.001184615,0.003868845,0.9599726],"category_scores_gemma":[0.002727686,0.000588343,0.0005460237,0.001628866,0.001584134,0.00230371,0.00252952,0.002061873,0.9390885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00271561,"about_ca_system_score_gemma":0.004948204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05641012,"about_ca_topic_score_gemma":0.0920976,"domain_scores_codex":[0.9993931,0.00003198617,0.00001824393,0.0001367677,0.0002238862,0.0001960732],"domain_scores_gemma":[0.9983693,0.0002014174,0.00005966636,0.0001421314,0.000631666,0.0005959394],"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":[0.00005873079,0.0000422011,0.000280752,0.0001518481,0.000004631926,0.0001159373,0.0001073643,0.00005127258,0.0004212621,0.002892032,0.8977088,0.09816521],"study_design_scores_gemma":[0.000009296285,0.000008600618,0.0006143688,0.0001335824,0.000002887731,0.00005221673,0.0001772646,0.0000347916,0.0001198241,0.0003550225,0.9984866,0.000005492183],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003849778,0.0002687317,0.00009420353,0.0008389409,0.0008192556,0.00002768036,0.001545045,0.0004810516,0.9955401],"genre_scores_gemma":[0.0008432927,0.0001234109,0.00004970123,0.0001380438,0.00004090589,0.000007108818,0.0002900627,0.00007289586,0.9984345],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05641012,"threshold_uncertainty_score":0.1121636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0133728232175293,"score_gpt":0.1932281130898773,"score_spread":0.179855289872348,"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."}}