{"id":"W4247318435","doi":"10.1017/s1359135514000645","title":"…Toronto","year":2014,"lang":"en","type":"article","venue":"Architectural Research Quarterly","topic":"Legal case studies and regulations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Information retrieval; World Wide Web","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001957869,0.00007180653,0.00009979118,0.00005891734,0.001829588,0.0001303875,0.0002780066,0.00004745591,0.0004013646],"category_scores_gemma":[0.0003769628,0.0000549415,0.00007043105,0.0002416907,0.0006872793,0.0001679534,0.00003184863,0.0002234189,0.0002235054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001446839,"about_ca_system_score_gemma":0.00009226644,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03419068,"about_ca_topic_score_gemma":0.1104889,"domain_scores_codex":[0.9973197,0.0008434259,0.0001208279,0.0002105227,0.0008358571,0.0006696389],"domain_scores_gemma":[0.9987055,0.00062836,0.00001815823,0.0002210791,0.000202956,0.000223939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002215569,0.00002842415,0.0002440872,0.000007734774,0.00001815638,0.0000038838,0.07658834,0.00000692777,0.000238953,0.3126646,0.005435044,0.6047417],"study_design_scores_gemma":[0.0002714897,0.0007569112,0.01105453,0.00001642573,0.000003971409,0.000003240989,0.01710084,0.0002229773,0.00001455612,0.04587502,0.9244936,0.0001865059],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5011896,0.0002602317,0.0003276253,0.01535029,0.0002871967,0.0003387852,0.000002840183,0.0001305249,0.4821129],"genre_scores_gemma":[0.9915224,0.00001247927,0.0002816265,0.00006784857,0.0008291709,0.00002659921,0.000002032735,0.000008260125,0.007249629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9190585,"threshold_uncertainty_score":0.9994699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05535738648509414,"score_gpt":0.4334911555416312,"score_spread":0.3781337690565371,"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."}}