{"id":"W4384212342","doi":"10.7202/1098388ar","title":"Fendre les images, fendre les choses","year":2023,"lang":"fr","type":"article","venue":"Sens public","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Philosophy; Art","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002422942,0.0004062413,0.0003408385,0.0002750378,0.0006103527,0.005829664,0.0008107292,0.000241372,0.0003883968],"category_scores_gemma":[0.0004085187,0.000325427,0.0002245121,0.001897331,0.0003743083,0.004893913,0.0007990423,0.0003714387,0.003018784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009902714,"about_ca_system_score_gemma":0.0002121959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002409708,"about_ca_topic_score_gemma":0.0008967091,"domain_scores_codex":[0.9970616,0.0001235454,0.0003770039,0.0007123409,0.0005293071,0.001196166],"domain_scores_gemma":[0.9979985,0.0001809328,0.0001412416,0.0007326028,0.0003846368,0.0005620632],"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":[0.000002626468,0.0001285492,0.0003651723,0.00008172284,0.00006171139,0.0007088737,0.001384732,0.00002943114,0.0008408003,0.1693371,0.5285656,0.2984936],"study_design_scores_gemma":[0.0002882375,0.0001224682,0.01442984,0.0001120313,0.00001489313,0.0004177364,0.0005655587,0.001918444,0.001235255,0.005195732,0.9751608,0.0005389788],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1668385,0.03130254,0.001749474,0.2958537,0.00959547,0.0007052582,0.0004677353,0.002878831,0.4906084],"genre_scores_gemma":[0.6385268,0.0008888324,0.0005802482,0.0007715953,0.001196852,0.000006878615,0.0001098461,0.00004262081,0.3578763],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4716883,"threshold_uncertainty_score":0.9999198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4195063226715599,"score_gpt":0.3271835843446232,"score_spread":0.0923227383269366,"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."}}