{"id":"W4235945516","doi":"10.33137/ic.v35i0.37207","title":"Front Matter","year":2021,"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001172491,0.0007284891,0.0008509624,0.00058693,0.0001386478,0.0003528903,0.0007531798,0.000718467,0.7078481],"category_scores_gemma":[0.00003152567,0.0008645363,0.0003531965,0.0003680113,0.0001352436,0.0001338625,0.00008976321,0.0007485242,0.966702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002728879,"about_ca_system_score_gemma":0.002986813,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2238078,"about_ca_topic_score_gemma":0.5161605,"domain_scores_codex":[0.9964992,0.0001428326,0.0004940596,0.00105233,0.0005258514,0.001285715],"domain_scores_gemma":[0.9967909,0.00003059615,0.0002359262,0.001531301,0.0001802181,0.001231098],"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":[0.000003263295,0.00001365936,0.00006765701,0.0001036964,0.0002485578,0.0008301795,0.0001131399,0.00001652194,0.00003356782,0.00002020308,0.9982253,0.0003243099],"study_design_scores_gemma":[0.0001832218,0.00001120192,0.0004851794,0.0002636092,0.00009784597,0.00006947224,0.00006540002,0.00000666659,0.00007423945,0.00001286902,0.9977457,0.0009845949],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002364945,0.01119897,0.000005526641,0.001278652,0.006875389,0.0003641884,0.01896393,0.00004722078,0.9610296],"genre_scores_gemma":[0.001538483,0.00002390473,0.0001695008,0.00491874,0.001736529,0.00008015873,0.007312428,0.0006282536,0.983592],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2923527,"threshold_uncertainty_score":0.9993805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0137177879804518,"score_gpt":0.2407233273355772,"score_spread":0.2270055393551254,"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."}}