{"id":"W4250603677","doi":"10.1142/9789811226830_fmatter","title":"FRONT MATTER","year":2020,"lang":"en","type":"paratext","venue":"Series in machine perception and artificial intelligence","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Front (military); Geology; Oceanography","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":[0.0009022807,0.003351591,0.001592043,0.002856105,0.001993555,0.008620714,0.001640628,0.00553851,0.9288256],"category_scores_gemma":[0.002233671,0.0007589126,0.001170603,0.002004259,0.001565058,0.005022058,0.003265611,0.002696518,0.9081167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001362093,"about_ca_system_score_gemma":0.002469545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001890553,"about_ca_topic_score_gemma":0.002592145,"domain_scores_codex":[0.9992207,0.00007204759,0.00003710995,0.0002859662,0.0002436235,0.0001404648],"domain_scores_gemma":[0.998357,0.0002973632,0.0001017781,0.0001298666,0.0004231744,0.0006907851],"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":[0.0000587609,0.00007940528,0.0001598431,0.0002510308,0.000008202825,0.00008651059,0.00003724257,0.0001536065,0.0005809047,0.008830373,0.8078446,0.1819095],"study_design_scores_gemma":[0.0000166325,0.00003820322,0.0001927295,0.0001551743,0.000004159394,0.00005487236,0.00003372535,0.0001318219,0.0001274946,0.001810982,0.9974279,0.00000622693],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004081006,0.001077759,0.0009454465,0.003969093,0.006726433,0.00008268998,0.001688648,0.0007315291,0.9843704],"genre_scores_gemma":[0.0007266156,0.0005872358,0.0002961154,0.0006139291,0.0006267633,0.00002697384,0.0004173249,0.0001520611,0.9965531],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07117438,"threshold_uncertainty_score":0.1015216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03861959261920749,"score_gpt":0.3175727659201712,"score_spread":0.2789531733009637,"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."}}