{"id":"W7099876770","doi":"","title":"Toronto","year":2002,"lang":"en","type":"article","venue":"","topic":"Mathematics, Computing, and Information Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economies of agglomeration; Production (economics); Industrial policy; Core (optical fiber); Industrial production; Cluster analysis; Work (physics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00032348,0.00121,0.0008047773,0.001219498,0.003353867,0.004965361,0.001242768,0.002142985,0.7542856],"category_scores_gemma":[0.001480854,0.0004913716,0.0005062135,0.001640558,0.0007512365,0.002406821,0.002456402,0.001554069,0.467754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002580786,"about_ca_system_score_gemma":0.003008589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03467541,"about_ca_topic_score_gemma":0.07889039,"domain_scores_codex":[0.9992612,0.00005652311,0.000038972,0.0002713425,0.0002519421,0.0001200811],"domain_scores_gemma":[0.9990842,0.000124728,0.00005740475,0.0001127538,0.0003886903,0.0002321115],"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":[0.00027059,0.00008913183,0.001910246,0.0007754558,0.00002735005,0.001336037,0.0009383261,0.0005590893,0.001749353,0.03338537,0.7026697,0.2562892],"study_design_scores_gemma":[0.00001047556,0.00001256652,0.0007797029,0.000116289,0.000004426663,0.0001565885,0.0002079358,0.00007959726,0.0002042275,0.00141678,0.9970034,0.000008010018],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001625536,0.005222982,0.001032848,0.003217649,0.001664354,0.00007215083,0.004661674,0.0007075858,0.9817953],"genre_scores_gemma":[0.006906849,0.003147532,0.0007187547,0.0006906285,0.0001464544,0.00003368245,0.002412418,0.0002268903,0.9857168],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2457144,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02180900735176527,"score_gpt":0.2163387463554528,"score_spread":0.1945297390036875,"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."}}