{"id":"W2222774645","doi":"","title":"Diviser, embrasser, puis disparaître. David Miller, Make a mess then clean it up - The kiss, à Souffles, 7044, rue Saint-Urbain, Montréal. 6 octobre - 5 novembre 2005David Miller, Make a mess then clean it up - The kiss, à Souffles, 7044, rue Saint-Urbain, Montréal. 6 octobre - 5 novembre 2005","year":2006,"lang":"fr","type":"article","venue":"ETC","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Miller; KISS (TNC); SAINT; Art; Humanities; Art history; Computer science; Geology; Operating system","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.006242101,0.004347451,0.004338529,0.0005263505,0.01095445,0.002582035,0.007724483,0.00268702,0.002650972],"category_scores_gemma":[0.001339581,0.003272966,0.003211637,0.003672096,0.007162786,0.00131979,0.002970149,0.004671135,0.00148234],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004303962,"about_ca_system_score_gemma":0.00175424,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5443361,"about_ca_topic_score_gemma":0.7254186,"domain_scores_codex":[0.9741741,0.00415644,0.004388663,0.004319565,0.005443422,0.007517767],"domain_scores_gemma":[0.9861345,0.003249042,0.002764964,0.004623093,0.001337839,0.001890536],"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":[0.0004929025,0.00191159,0.001282013,0.0003271361,0.002095285,0.0002780275,0.04796431,0.0006750774,0.00006833997,0.06993037,0.8431495,0.03182544],"study_design_scores_gemma":[0.00446247,0.0003806618,0.00922482,0.001006771,0.001463407,0.00006059563,0.08557762,0.0009343335,0.00007614819,0.009149712,0.8839349,0.003728631],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.03086363,0.6907541,0.0002744533,0.1752473,0.01860543,0.008140381,0.005332913,0.001254142,0.06952768],"genre_scores_gemma":[0.2996524,0.07724061,0.0003145673,0.0301058,0.01280623,0.001465938,0.0011875,0.001110173,0.5761168],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.6135134,"threshold_uncertainty_score":0.9995183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02317733174138175,"score_gpt":0.2477339271028099,"score_spread":0.2245565953614281,"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."}}