{"id":"W4232201333","doi":"10.25336/p6761m","title":"Front Matter","year":2012,"lang":"en","type":"paratext","venue":"Canadian Studies in Population","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Front (military); Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"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":[0.0006909124,0.001608383,0.0007768447,0.002134894,0.00339007,0.004405401,0.001240286,0.002646062,0.8700652],"category_scores_gemma":[0.002647942,0.0005059239,0.0004889966,0.002658834,0.001255093,0.001359875,0.001392953,0.001563007,0.7645931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005524131,"about_ca_system_score_gemma":0.01419594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4618544,"about_ca_topic_score_gemma":0.5843522,"domain_scores_codex":[0.9993124,0.00003731747,0.00002256918,0.0001007197,0.0002604346,0.0002666493],"domain_scores_gemma":[0.9977233,0.0002327003,0.00007589278,0.00009787035,0.001123206,0.0007469961],"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":[0.00002963918,0.00002002934,0.0005076981,0.0001175358,0.000002638745,0.0000443939,0.00004840801,0.00002184787,0.00008732925,0.001429509,0.9492738,0.0484172],"study_design_scores_gemma":[0.000008067404,0.000005989174,0.00238827,0.0001709697,0.000002462898,0.00003550941,0.0001855828,0.00001674031,0.00004937507,0.000187982,0.9969429,0.000005998308],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008039321,0.001417448,0.0001005898,0.003803656,0.002758763,0.00004997284,0.01141287,0.0002795463,0.9793732],"genre_scores_gemma":[0.001879929,0.0007464005,0.0001119836,0.0008211361,0.0001830824,0.00001367581,0.001555652,0.00007657419,0.9946116],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4618544,"threshold_uncertainty_score":0.9183322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06934171138098286,"score_gpt":0.3400323457919393,"score_spread":0.2706906344109564,"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."}}