{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004937968,0.002596132,0.001190339,0.00525933,0.001171599,0.002192287,0.0036392,0.002036057,0.02623783],"category_scores_gemma":[0.003129894,0.0007115541,0.001759211,0.009823555,0.000532597,0.0008251648,0.001784755,0.001598202,0.01716138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006870529,"about_ca_system_score_gemma":0.007695812,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8507376,"about_ca_topic_score_gemma":0.928502,"domain_scores_codex":[0.9995035,0.00005879448,0.00003672569,0.000122802,0.0001161864,0.0001620829],"domain_scores_gemma":[0.9985538,0.0002239893,0.000139734,0.0002056091,0.000571355,0.0003054732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001062582,0.0000597174,0.01578568,0.0006735186,0.0001306907,0.0000801866,0.0002160775,0.00135599,0.0002046422,0.0005121113,0.9744719,0.006403267],"study_design_scores_gemma":[0.0004526758,0.00004365923,0.2738093,0.0007132689,0.0002372038,0.0001183302,0.001370846,0.005591876,0.0007902714,0.001034789,0.7156616,0.0001761615],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001991916,0.0001143506,0.00005541701,0.00009003084,0.00001592161,0.00001614749,0.9970585,0.0001894233,0.0004683775],"genre_scores_gemma":[0.003668371,0.00009103079,0.000190775,0.00002602957,0.000007886842,0.00007971485,0.9946823,0.00002968984,0.001224179],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1492624,"threshold_uncertainty_score":0.3002828,"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."}}