{"id":"W2899115442","doi":"10.7202/1052648ar","title":"Deviner son prédateur, trouver sa proie","year":2018,"lang":"fr","type":"article","venue":"Anthropologie et Sociétés","topic":"Digital Games and Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Philosophy; Art; Political science; Ethnology; Sociology","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":[],"consensus_categories":[],"category_scores_codex":[0.001696477,0.0006489562,0.0003447028,0.0008330168,0.004940791,0.007337365,0.0008863469,0.001841195,0.01775745],"category_scores_gemma":[0.005032531,0.0003187137,0.000330483,0.0006317956,0.009995478,0.007810861,0.004443536,0.003111177,0.003585411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00251108,"about_ca_system_score_gemma":0.002683579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005479867,"about_ca_topic_score_gemma":0.01054963,"domain_scores_codex":[0.998422,0.0006111201,0.00004498729,0.0003422542,0.0003726404,0.0002069185],"domain_scores_gemma":[0.9983773,0.0005147861,0.0002384937,0.0002494038,0.0003649847,0.0002549783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006107869,0.00002954496,0.002866498,0.0001269222,0.00001110771,0.0003157061,0.08625321,0.0002151231,0.001430553,0.8660741,0.005379253,0.03723695],"study_design_scores_gemma":[0.00001397406,0.0001512987,0.006056263,0.0005106783,0.00003470589,0.001048121,0.07095776,0.0009924279,0.002246362,0.1273457,0.790576,0.000066633],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09999908,0.002694441,0.04468833,0.0121751,0.0007594448,0.00008666512,0.0001246758,0.0001486978,0.8393235],"genre_scores_gemma":[0.751052,0.001889502,0.01168233,0.001354184,0.0002444212,0.0001152136,0.0001025687,0.0002128068,0.233347],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01775745,"threshold_uncertainty_score":0.05940455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1986601030081018,"score_gpt":0.5548350143983833,"score_spread":0.3561749113902816,"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."}}