{"id":"W4246665174","doi":"10.7202/1075455ar","title":"Introduction","year":2020,"lang":"fr","type":"article","venue":"Diversité urbaine","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001485069,0.0002443983,0.0002534407,0.00007421052,0.000169954,0.00005444506,0.00028359,0.000135964,0.02043496],"category_scores_gemma":[0.0002772047,0.0003137997,0.0001437737,0.000945027,0.0002143951,0.0004950102,0.0003389241,0.000326907,0.13428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002909461,"about_ca_system_score_gemma":0.00004359374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009676508,"about_ca_topic_score_gemma":0.000004453741,"domain_scores_codex":[0.9982893,0.0001351351,0.0001895474,0.0005595902,0.0003659466,0.0004604255],"domain_scores_gemma":[0.9989851,0.00002592623,0.0001130699,0.0002694724,0.0001643353,0.0004420809],"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":[0.0002521172,0.0001280126,0.003159075,0.00009473293,0.0001810241,0.0001699081,0.009090054,0.0003847649,0.006475515,0.01107525,0.9648187,0.004170908],"study_design_scores_gemma":[0.001107371,0.0002603757,0.005736186,0.00001348511,0.0003008856,0.00001738993,0.0004914967,0.002885982,0.001988922,0.00007213413,0.9868099,0.0003158684],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.07895742,0.02035597,0.001202973,0.8744525,0.006248497,0.0005138387,0.001057673,0.0007240433,0.01648712],"genre_scores_gemma":[0.8228705,0.0002737733,0.001776965,0.005958422,0.03567414,0.000003490857,0.0005025494,0.000207636,0.1327325],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.868494,"threshold_uncertainty_score":0.9999314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01610443129934835,"score_gpt":0.1959902887892855,"score_spread":0.1798858574899371,"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."}}