{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008188441,0.0008055941,0.0004022666,0.0006926374,0.006297527,0.00350974,0.0008918488,0.003279033,0.175537],"category_scores_gemma":[0.002135001,0.000513355,0.0002255993,0.0008345275,0.001524479,0.003079338,0.001589487,0.003956971,0.05986704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004791821,"about_ca_system_score_gemma":0.003109363,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1835437,"about_ca_topic_score_gemma":0.5311234,"domain_scores_codex":[0.9992869,0.0001811595,0.00002185985,0.00009740924,0.0002528848,0.0001597061],"domain_scores_gemma":[0.9991666,0.0001116476,0.00005751196,0.00002808212,0.0003395318,0.0002966025],"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":[0.000008903899,0.000005855162,0.0001561108,0.00003027209,0.000001299345,0.00002329979,0.0004497065,0.000004187039,0.00006535648,0.00216666,0.9871322,0.00995606],"study_design_scores_gemma":[0.00000285096,0.000004046251,0.0007232781,0.00005288745,0.000001381797,0.00002787151,0.000973073,0.000004138659,0.00004756034,0.0002922922,0.9978661,0.000004679453],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.002005935,0.1775781,0.0004989547,0.4735809,0.02385474,0.00004622906,0.0006156983,0.0003055748,0.3215138],"genre_scores_gemma":[0.01098234,0.02429235,0.0002765187,0.03355663,0.002018278,0.00002284325,0.0001296503,0.0001541286,0.9285673],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8164563,"threshold_uncertainty_score":0.5872297,"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."}}