{"id":"W6930419209","doi":"10.5281/zenodo.13803656","title":"metro toronto","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Work (physics); Government (linguistics); Identification (biology); Placemaking","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":["insufficient_payload"],"category_scores_codex":[0.0003519083,0.002039477,0.0008951975,0.002034433,0.002367342,0.003347408,0.0009692213,0.001671567,0.7641293],"category_scores_gemma":[0.0007988224,0.0006342992,0.0005575811,0.00169733,0.000632292,0.001031453,0.001981803,0.001538398,0.5981817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0022116,"about_ca_system_score_gemma":0.003667315,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03884053,"about_ca_topic_score_gemma":0.1051891,"domain_scores_codex":[0.9993294,0.00005045837,0.00002104507,0.0002307676,0.0002377164,0.000130557],"domain_scores_gemma":[0.999393,0.00006343531,0.00004099517,0.0001032609,0.0001736937,0.0002256518],"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":[0.0002158375,0.00005051776,0.0006260469,0.0003714543,0.00002028459,0.0004707632,0.0001359377,0.0006506121,0.003797864,0.02274542,0.6937984,0.2771168],"study_design_scores_gemma":[0.00001699888,0.0000152175,0.0003273006,0.00003987443,0.000006209143,0.0001456506,0.00003549368,0.0001225155,0.0005057454,0.001056867,0.9977223,0.000005838131],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001043501,0.002905028,0.002053021,0.001028491,0.0007303857,0.00004430839,0.004522854,0.001594246,0.9860783],"genre_scores_gemma":[0.002753449,0.001071254,0.0009407724,0.0001806369,0.0001015681,0.00002201964,0.00189261,0.0004034427,0.9926342],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9611595,"threshold_uncertainty_score":0.3364409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02523273915117192,"score_gpt":0.278715505160255,"score_spread":0.2534827660090831,"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."}}