{"id":"W4389395792","doi":"10.24908/cpp-apc.v2023i1.16913","title":"Condoland","year":2023,"lang":"fr","type":"article","venue":"Canadian Planning and Policy / Aménagement et politique au Canada","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001176142,0.0007909251,0.0006470441,0.002006019,0.0008507356,0.0004083415,0.0005028186,0.0003355925,0.0003085428],"category_scores_gemma":[0.0006594571,0.001024986,0.00009640971,0.001963916,0.0004085984,0.0003639245,0.0001852903,0.0007685572,0.0007050827],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.008883383,"about_ca_system_score_gemma":0.05220152,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9999607,"about_ca_topic_score_gemma":0.9999412,"domain_scores_codex":[0.9931781,0.000585883,0.0006558658,0.0008783822,0.0005794815,0.004122233],"domain_scores_gemma":[0.9936972,0.0005173126,0.0002157415,0.0007129089,0.0001423871,0.004714489],"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":[0.0000108215,0.000007103638,0.0209383,0.0003541924,0.0002233198,0.002804688,0.002946654,0.0008796054,0.00001079393,0.262229,0.7087901,0.0008054574],"study_design_scores_gemma":[0.0007869534,0.00006281857,0.09889358,0.0006541443,0.00009532956,0.0001729954,0.002010191,0.0006538029,0.00003433732,0.001224953,0.8944903,0.0009206076],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.297125,0.004230034,0.000006249968,0.2339802,0.003575922,0.001106674,0.02116233,0.000362114,0.4384515],"genre_scores_gemma":[0.873717,0.0003367486,0.0000264654,0.03202907,0.002016951,0.00007510084,0.001187936,0.0002540013,0.09035674],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.576592,"threshold_uncertainty_score":0.9992201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02572067231676532,"score_gpt":0.2998540022146122,"score_spread":0.2741333298978469,"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."}}