{"id":"W4231460619","doi":"10.25336/p6sp5x","title":"Front Matter","year":2015,"lang":"en","type":"paratext","venue":"Canadian Studies in Population","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Front (military); Geography; Meteorology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003825871,0.0004388326,0.0007415152,0.001255783,0.000126287,0.00003805204,0.000244019,0.0004145378,0.007836622],"category_scores_gemma":[0.0001731844,0.0004753429,0.00006982443,0.0003297169,0.0001133928,0.0001458964,0.00007032888,0.0004246175,0.4751991],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01079559,"about_ca_system_score_gemma":0.0005293614,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.59267,"about_ca_topic_score_gemma":0.9578292,"domain_scores_codex":[0.9976817,0.0001592565,0.0005566729,0.0005462606,0.0003402336,0.000715895],"domain_scores_gemma":[0.9985558,0.0000303666,0.0002397135,0.0005138576,0.0002815929,0.0003786416],"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":[0.000006784765,0.000004322053,0.01855912,0.00007831624,0.00009688539,0.00002588203,0.0008820005,0.0004248797,2.636861e-7,0.00001537875,0.9796476,0.0002585204],"study_design_scores_gemma":[0.0003052806,0.00001270905,0.04507429,0.0003624927,0.00005005815,0.000006305358,0.0005389224,0.0000327371,3.835611e-7,0.0003635182,0.9526516,0.0006016832],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01207579,0.04145433,0.000001597268,0.0004267953,0.01631995,0.001261872,0.002896426,0.00004931377,0.9255139],"genre_scores_gemma":[0.3023126,0.0002735863,0.0001725605,0.001183169,0.002067694,0.00032197,0.008694218,0.0004402278,0.684534],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4673625,"threshold_uncertainty_score":0.9997698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09037525104543612,"score_gpt":0.3538928107767039,"score_spread":0.2635175597312678,"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."}}