{"id":"W7037389897","doi":"","title":"Doing good: the life of Toronto's General Hospital","year":2003,"lang":"en","type":"article","venue":"PubMed Central","topic":"Urban Planning and Landscape Design","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003207132,0.00008801145,0.00008954595,0.000003207458,0.00007237236,0.00002009089,0.0001743641,0.00003577899,0.001177066],"category_scores_gemma":[0.00005713388,0.00005861964,0.00005356007,0.00004642325,0.00007462029,0.0001104534,0.00002636024,0.00006816702,0.00002785105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001003153,"about_ca_system_score_gemma":0.0000154249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006617709,"about_ca_topic_score_gemma":0.0001247459,"domain_scores_codex":[0.9987594,0.00006589066,0.0001302191,0.0001501591,0.0002066276,0.0006877113],"domain_scores_gemma":[0.999525,0.00003177428,0.0000548719,0.0001741664,0.000001966178,0.0002122252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001248305,0.000113264,0.842667,0.000003791131,0.00003552666,0.000004932481,0.001491415,0.0005770241,0.000345986,0.001469625,0.1455329,0.007745962],"study_design_scores_gemma":[0.0002027996,0.00002618165,0.7765028,0.000001658932,0.00001551668,0.000003115418,0.00009294349,0.000118833,0.0006827912,0.00001113884,0.2222411,0.0001010376],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.864977,0.000586673,0.0002526144,0.0001645934,0.0007190948,0.0002664444,0.000007140887,0.00003252211,0.1329939],"genre_scores_gemma":[0.9978752,0.0000174555,0.0005312174,0.0001451825,0.0001037162,0.00002287426,0.000002836716,0.000008095403,0.001293437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1328982,"threshold_uncertainty_score":0.999736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006512090309111129,"score_gpt":0.1751255982078659,"score_spread":0.1686135078987548,"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."}}