{"id":"W4323539006","doi":"10.33137/ic.v36i2.40624","title":"Front Matter and Contents","year":2023,"lang":"en","type":"paratext","venue":"Italian Canadiana","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","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":[0.0004820863,0.001185046,0.0008207087,0.001995541,0.002360235,0.006546338,0.000899515,0.002679228,0.9044749],"category_scores_gemma":[0.001793211,0.0003032277,0.0006781271,0.001230748,0.000898946,0.001753229,0.002046098,0.001515729,0.8678395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002348237,"about_ca_system_score_gemma":0.002566652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006824757,"about_ca_topic_score_gemma":0.0113935,"domain_scores_codex":[0.9993728,0.00005205346,0.00002172441,0.000152907,0.0002790623,0.0001215334],"domain_scores_gemma":[0.9990729,0.0001399337,0.00004897117,0.0001088788,0.000304264,0.0003249516],"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":[0.00004188876,0.00003295779,0.0001081704,0.0001273807,0.000003045039,0.00004282633,0.00002348185,0.00006813952,0.0002780833,0.005690825,0.9203238,0.07325937],"study_design_scores_gemma":[0.000005399658,0.00000535176,0.0002465079,0.00005019956,0.00000133872,0.00002160292,0.0000162357,0.00003039845,0.00007072619,0.0007682268,0.9987814,0.000002617364],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002695995,0.0006565063,0.0001830189,0.001820875,0.004249013,0.00004654711,0.002522601,0.0002939714,0.9899577],"genre_scores_gemma":[0.0008791272,0.000240542,0.0001249843,0.0003538594,0.0005315678,0.0000148861,0.0006984904,0.0001169418,0.9970396],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09552509,"threshold_uncertainty_score":0.136255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04714767701458498,"score_gpt":0.2057356907236005,"score_spread":0.1585880137090155,"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."}}