{"id":"W4404300589","doi":"10.1051/shsconf/202420301005","title":"Evaluation algorithmique inclusive de la qualité des espaces publics","year":2024,"lang":"fr","type":"article","venue":"SHS Web of Conferences","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Humanities; Mathematics; Philosophy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006010303,0.001639224,0.001674796,0.006377826,0.001256857,0.008636087,0.00220855,0.003239448,0.009637138],"category_scores_gemma":[0.02288183,0.0006477784,0.002050542,0.004399959,0.001229351,0.003606256,0.002019855,0.00164776,0.002553593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004129993,"about_ca_system_score_gemma":0.00369629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01730588,"about_ca_topic_score_gemma":0.01152001,"domain_scores_codex":[0.9936447,0.001471787,0.00059239,0.001415065,0.002339773,0.0005363274],"domain_scores_gemma":[0.9871335,0.005727358,0.0008564581,0.000923416,0.005073923,0.0002853737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008305184,0.0004659986,0.03445249,0.000888297,0.0005022584,0.0002669251,0.001362364,0.2358979,0.009807262,0.02849035,0.009660012,0.6773756],"study_design_scores_gemma":[0.00006706385,0.0002129322,0.006557264,0.0001626082,0.0001091585,0.0001780793,0.000695786,0.9676501,0.006563461,0.01067268,0.00708145,0.00004935508],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06975615,0.0009145809,0.9083383,0.001077516,0.0001910267,0.0005669307,0.000995009,0.003729103,0.01443136],"genre_scores_gemma":[0.4924322,0.0005690608,0.4927769,0.0002587711,0.00009071517,0.0008987802,0.002322307,0.0003830391,0.01026839],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01730588,"threshold_uncertainty_score":0.0344103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07495618398899703,"score_gpt":0.3739455762174581,"score_spread":0.2989893922284611,"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."}}