{"id":"W4392021665","doi":"10.51644/9780889206809-fm","title":"Front Matter","year":2006,"lang":"en","type":"paratext","venue":"","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Wilfrid Laurier University","keywords":"Front (military); Physics; Meteorology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0003668794,0.0008894844,0.0007474796,0.0009133196,0.00257098,0.006730556,0.001074729,0.004303548,0.8960218],"category_scores_gemma":[0.001823312,0.0002952447,0.000380919,0.0009124406,0.001373279,0.001524237,0.001514584,0.001715785,0.8255202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002441289,"about_ca_system_score_gemma":0.003741068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03892587,"about_ca_topic_score_gemma":0.07496826,"domain_scores_codex":[0.9993542,0.00002674052,0.00001724546,0.0001238163,0.0003285511,0.0001493808],"domain_scores_gemma":[0.9989449,0.000109428,0.00004383153,0.0000695154,0.0004209788,0.0004113417],"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":[0.00005304002,0.00002482403,0.0004176552,0.0002089095,0.000006241104,0.0001489938,0.00008273156,0.00005680002,0.0007502736,0.006848504,0.8902336,0.1011684],"study_design_scores_gemma":[0.000003566549,0.000004263279,0.0003903655,0.00005619567,0.000001098335,0.00004627602,0.00007241511,0.00002661956,0.00008319109,0.0003422809,0.9989713,0.000002389804],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005322439,0.001363937,0.0002213658,0.00537376,0.002687785,0.00002923873,0.001500347,0.0003643576,0.987927],"genre_scores_gemma":[0.002007596,0.0008071893,0.00009288074,0.001070341,0.0002818715,0.000006285683,0.0004439596,0.0000907849,0.9951991],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1039782,"threshold_uncertainty_score":0.1483123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008906050473057892,"score_gpt":0.2331945064189349,"score_spread":0.224288455945877,"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."}}