{"id":"W7002472178","doi":"","title":"Myles Goodwyn; Why is Ontario receiving equalization?; Fixing Canada's access to information system","year":2023,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Information system","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":[],"consensus_categories":[],"category_scores_codex":[0.000515152,0.0004669357,0.0002075175,0.001367995,0.007254511,0.003508923,0.0006749263,0.002117841,0.1530183],"category_scores_gemma":[0.002536525,0.0003015909,0.0001451299,0.001697531,0.001181293,0.002203435,0.0008716023,0.001762464,0.03369352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01942506,"about_ca_system_score_gemma":0.01843368,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9339873,"about_ca_topic_score_gemma":0.97543,"domain_scores_codex":[0.9994569,0.00003838805,0.00001051595,0.00004453478,0.0002818609,0.0001677327],"domain_scores_gemma":[0.9985152,0.0001483415,0.00005018536,0.00003269111,0.0007726415,0.0004809071],"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":[0.000001485716,0.000001503217,0.0001172722,0.000008236576,2.374468e-7,0.00001434362,0.0001138275,0.000005852192,0.00001115746,0.001193708,0.9940047,0.004527661],"study_design_scores_gemma":[0.000001428829,0.000001061193,0.001028371,0.00003850778,7.665654e-7,0.0000164091,0.000646076,0.00001697685,0.00002967831,0.0002949009,0.9979201,0.000005708201],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001472418,0.01496279,0.000357029,0.1779276,0.004624092,0.00008062044,0.002979035,0.0005228618,0.7970735],"genre_scores_gemma":[0.007252612,0.005967315,0.0001836489,0.008825177,0.0003395121,0.00002062036,0.0003861666,0.0001583373,0.9768667],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1530183,"threshold_uncertainty_score":0.5118972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01190254324175897,"score_gpt":0.2114350237861198,"score_spread":0.1995324805443609,"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."}}