{"id":"W4312413939","doi":"10.33137/ic.v31i.39170","title":"Front Matter","year":2022,"lang":"en","type":"paratext","venue":"Italian Canadiana","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Front (military); Physics; Meteorology","routes":{"ca_aff":false,"ca_fund":false,"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":[0.0004900717,0.001936886,0.0008198571,0.001859923,0.002416482,0.006592744,0.0009015069,0.003662965,0.9395259],"category_scores_gemma":[0.001550958,0.0005106766,0.0006770281,0.001229912,0.0009815987,0.001663439,0.002018424,0.001913044,0.9190619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001611997,"about_ca_system_score_gemma":0.003038047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01216452,"about_ca_topic_score_gemma":0.01531553,"domain_scores_codex":[0.9995095,0.00004242841,0.00001663518,0.0001112749,0.000180309,0.0001398586],"domain_scores_gemma":[0.9989471,0.0001436997,0.00004575519,0.0000769779,0.0003330623,0.0004534998],"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":[0.00005498483,0.00003892518,0.000114906,0.0001088398,0.000003352686,0.00007254461,0.00002676138,0.00004431004,0.0003198143,0.002662603,0.9396625,0.05689041],"study_design_scores_gemma":[0.00001434196,0.00001132023,0.0002390516,0.00008055916,0.000001593961,0.00003781501,0.00003914199,0.00003083053,0.00007353598,0.0004910058,0.9989769,0.000003883362],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002739159,0.0003620421,0.0001351202,0.001642912,0.002430915,0.00004664956,0.002387097,0.0004239577,0.9922974],"genre_scores_gemma":[0.0006052516,0.0001591359,0.00007289472,0.0003994294,0.000188341,0.00001420484,0.0004305658,0.0001015302,0.9980286],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0604741,"threshold_uncertainty_score":0.08625895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01327422318786798,"score_gpt":0.2373414178429025,"score_spread":0.2240671946550346,"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."}}