{"id":"W3212220260","doi":"10.4000/ebisu.6102","title":"Reconstruire son monde par les mots. Rêves et lettres dans les enquêtes du séminaire Kanebishi sur la catastrophe du 11 mars","year":2021,"lang":"fr","type":"article","venue":"Ebisu","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nautical Research Society","funders":"","keywords":"Humanities; Art","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.000681258,0.000499882,0.0006722888,0.00005852416,0.002158662,0.000384371,0.000511302,0.0004737864,0.001093416],"category_scores_gemma":[0.001163256,0.0005193123,0.0004054888,0.0005556126,0.003181827,0.0005169206,0.0002943649,0.0004988782,0.0001024755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003661228,"about_ca_system_score_gemma":0.0005202621,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09783846,"about_ca_topic_score_gemma":0.1867103,"domain_scores_codex":[0.9960041,0.001287674,0.0005192913,0.0007190878,0.0005658965,0.0009039211],"domain_scores_gemma":[0.9979148,0.0009485589,0.0002615808,0.000328499,0.000270378,0.0002761809],"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":[0.00002591938,0.0005128203,0.3107391,0.0001730835,0.0003402439,0.0007006155,0.06414203,0.00004247318,0.0002496692,0.06561623,0.4616892,0.0957686],"study_design_scores_gemma":[0.00044293,0.0001025341,0.07477973,0.0003015052,0.0001605547,0.00003066041,0.03735811,0.00004435182,0.0006104482,0.001984072,0.8835401,0.0006450043],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.762925,0.08886144,0.00008042788,0.04249113,0.003178314,0.0003205568,0.0004067704,0.0002147029,0.1015217],"genre_scores_gemma":[0.9220418,0.02484278,0.0007962573,0.0003361065,0.001832468,0.00005411984,0.00007279489,0.00006106515,0.04996259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4218509,"threshold_uncertainty_score":0.9998197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02346695392657985,"score_gpt":0.2381261124236533,"score_spread":0.2146591584970734,"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."}}