{"id":"W3093460012","doi":"","title":"Migrances / Mattia Scarpulla, Préparation au combat, Montréal, Hashtag, 2019, 165 p.","year":2020,"lang":"fr","type":"article","venue":"Érudit (Université de Montréal)","topic":"Middle East and Rwanda Conflicts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003745045,0.0004339886,0.0005318537,0.0001160216,0.002221588,0.00009900788,0.0006866254,0.0004666827,0.001539768],"category_scores_gemma":[0.00006557364,0.000505144,0.0003374775,0.0009984489,0.0007866633,0.0006880084,0.0002665182,0.0003535135,0.003308639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003690694,"about_ca_system_score_gemma":0.0003276783,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1133011,"about_ca_topic_score_gemma":0.4475224,"domain_scores_codex":[0.9968387,0.0003884498,0.0003573916,0.0006983917,0.0007248459,0.0009922086],"domain_scores_gemma":[0.9980735,0.0001162473,0.0003567182,0.0003446475,0.0002353358,0.0008736205],"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":[0.0003530727,0.0001422277,0.003126083,0.0001128098,0.0002535331,0.000596018,0.03046953,0.0002743736,0.0004734719,0.04925483,0.8747556,0.0401885],"study_design_scores_gemma":[0.001160437,0.0002637285,0.002205358,0.0001188097,0.0002494516,0.00003574922,0.004041279,0.002879158,0.0001671299,0.0003492972,0.9879758,0.000553758],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.1917756,0.3667212,0.0007789098,0.4001372,0.002593589,0.0007835619,0.0002248499,0.0002905389,0.03669463],"genre_scores_gemma":[0.3586687,0.04314745,0.0008263196,0.003362925,0.003905345,0.00001236404,0.0001191352,0.00009177449,0.589866],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5531714,"threshold_uncertainty_score":0.99974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01398140414315656,"score_gpt":0.1923616011432558,"score_spread":0.1783801970000992,"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."}}