{"id":"W7104607308","doi":"10.5281/zenodo.17575590","title":"La reconnaissance des émotions dans les jeux vidéo","year":2012,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Digital Games and Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Science pour tous","funders":"","keywords":"","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004762512,0.000935122,0.0003244337,0.0005697827,0.001289223,0.00252807,0.0003876967,0.001435669,0.005815131],"category_scores_gemma":[0.003936886,0.0002312289,0.0005639892,0.0002912045,0.00108127,0.001038372,0.0004562698,0.002894204,0.0007254557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001198591,"about_ca_system_score_gemma":0.0004287443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03526109,"about_ca_topic_score_gemma":0.01666653,"domain_scores_codex":[0.9994137,0.0002081799,0.00001134682,0.0001078795,0.0001838618,0.00007502614],"domain_scores_gemma":[0.9990664,0.0005342068,0.00008015475,0.00004005527,0.0001761304,0.0001029999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00537226,0.0009857569,0.04277902,0.0007560943,0.0007038399,0.01596743,0.04728701,0.02248893,0.4948562,0.05851993,0.02044396,0.2898397],"study_design_scores_gemma":[0.0007271988,0.002281491,0.6387349,0.0006414668,0.0004239938,0.01150046,0.03817454,0.07620627,0.1015928,0.007953493,0.121376,0.0003874375],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9455232,0.001228676,0.01495851,0.001216325,0.0005262792,0.00006944894,0.0001962833,0.0002631056,0.0360182],"genre_scores_gemma":[0.9789206,0.0005314958,0.003030933,0.0002509111,0.0003028145,0.00004867397,0.0001499949,0.0001029797,0.01666155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03526109,"threshold_uncertainty_score":0.07011169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08963386046042478,"score_gpt":0.2995053206821396,"score_spread":0.2098714602217148,"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."}}