{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006770584,0.003138369,0.0007713531,0.002568067,0.003475316,0.002503529,0.001873465,0.002821702,0.05671947],"category_scores_gemma":[0.00116614,0.0007708953,0.0005372234,0.004666247,0.001562149,0.002062931,0.001376288,0.002313519,0.01310246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01182334,"about_ca_system_score_gemma":0.007128333,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7386999,"about_ca_topic_score_gemma":0.8663071,"domain_scores_codex":[0.9996775,0.00006291768,0.00002449903,0.0000575513,0.0001072248,0.00007025229],"domain_scores_gemma":[0.9994131,0.000114592,0.00007316667,0.00002148812,0.0002557653,0.0001218691],"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":[0.00002653301,0.000008232215,0.0002742273,0.0004711444,0.00000781145,0.00007086647,0.0004428078,0.00009757838,0.00009328513,0.001602438,0.971045,0.02586002],"study_design_scores_gemma":[0.000009227879,0.000006758115,0.003446052,0.0005396805,0.000006919118,0.00008789561,0.0005612739,0.00003752355,0.00006704529,0.0002010169,0.9950281,0.00000855612],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.0005473097,0.8856874,0.0001886223,0.04735144,0.02628688,0.00004350208,0.001963989,0.0001757905,0.03775521],"genre_scores_gemma":[0.02047488,0.5884353,0.0005124735,0.01352175,0.02448052,0.0001177926,0.001363814,0.0002849386,0.3508086],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7386999,"threshold_uncertainty_score":0.5256779,"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."}}