{"id":"W4234960127","doi":"10.1037/e623522011-001","title":"Contact Zones and Comfort Zones: Public Sociability in Multiethnic Commercial Streets in Montréal","year":2010,"lang":"en","type":"dataset","venue":"PsycEXTRA Dataset","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geography","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"],"consensus_categories":[],"category_scores_codex":[0.002125328,0.0005230404,0.00104334,0.0002971046,0.000700736,0.0002503547,0.0009919389,0.001070269,0.0004029623],"category_scores_gemma":[0.001098073,0.0005407138,0.000119954,0.0005518099,0.001221475,0.0004841328,0.0003860643,0.001747797,0.00005738312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004684266,"about_ca_system_score_gemma":0.0004010572,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4893382,"about_ca_topic_score_gemma":0.9782892,"domain_scores_codex":[0.9958414,0.0007152509,0.0008145758,0.0008522936,0.0007509666,0.001025528],"domain_scores_gemma":[0.9978361,0.0007316346,0.0003180668,0.0007242436,0.00006910339,0.0003208316],"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":[0.0000315492,0.000542562,0.00745814,0.0000773116,0.00003914911,0.00004088565,0.001506276,9.969262e-8,3.200973e-7,0.0004247033,0.9859858,0.003893244],"study_design_scores_gemma":[0.0009821169,0.00005099495,0.03962131,0.00005343644,0.0000373697,7.973974e-7,0.001841755,0.000003438057,6.217974e-8,0.0006543631,0.9562125,0.0005418978],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002944303,0.003309455,0.000001372359,0.001787661,0.001111362,0.0009198727,0.9896306,0.00003818774,0.0002571626],"genre_scores_gemma":[0.003776931,0.005918304,0.00006633852,0.0004300899,0.0005707418,0.0001399429,0.9890545,0.00002016881,0.00002299421],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4889511,"threshold_uncertainty_score":0.9997044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05782519650546186,"score_gpt":0.3266245541256202,"score_spread":0.2687993576201583,"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."}}