{"id":"W2030421175","doi":"10.1080/0269745032000132646","title":"Indicators and core area planning: applications in Canada's mid-sized cities","year":2003,"lang":"en","type":"article","venue":"Planning Practice and Research","topic":"Urbanization and City Planning","field":"Social Sciences","cited_by":53,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University of Waterloo","keywords":"Core (optical fiber); Regional science; Environmental planning; Economic geography; Political science; Geography; Business; Computer science; Telecommunications","routes":{"ca_aff":false,"ca_fund":true,"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":[0.003037743,0.0007504523,0.0006856152,0.005327865,0.002684892,0.005386213,0.001525416,0.0006422863,0.004785612],"category_scores_gemma":[0.02054684,0.0002691466,0.0005070014,0.02424431,0.001761038,0.00209467,0.002204991,0.001461648,0.0002374609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03635739,"about_ca_system_score_gemma":0.07050446,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9802518,"about_ca_topic_score_gemma":0.9878045,"domain_scores_codex":[0.9987501,0.000393304,0.00007200067,0.000101318,0.0004734417,0.0002099014],"domain_scores_gemma":[0.9900982,0.004903101,0.0004699432,0.0002223724,0.003076712,0.001229667],"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":[0.000384875,0.000542308,0.2883355,0.001090025,0.0000969317,0.0003072872,0.01465655,0.032545,0.0002455111,0.1137694,0.06260407,0.4854225],"study_design_scores_gemma":[0.0002030478,0.0003453057,0.5219108,0.001772822,0.0004455494,0.0002093257,0.06862098,0.157485,0.001669905,0.1017153,0.1453559,0.0002661817],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7786834,0.01161229,0.04799588,0.01848552,0.0003173658,0.00101024,0.01806056,0.001877677,0.1219571],"genre_scores_gemma":[0.9213114,0.009552934,0.05242416,0.0003010688,0.00003984352,0.000400337,0.003836786,0.0001787308,0.01195466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03635739,"threshold_uncertainty_score":0.2637926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1347339457520857,"score_gpt":0.421468300645756,"score_spread":0.2867343548936703,"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."}}