{"id":"W2257532462","doi":"","title":"Caring for Canada’s children","year":2008,"lang":"en","type":"article","venue":"PubMed Central","topic":"Child and Adolescent Health","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Operations research; Library science; Data science; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0002135556,0.0001067438,0.0001706755,0.00002500398,0.0009325123,0.000002356779,0.0001256033,0.00007003713,0.00004875368],"category_scores_gemma":[0.0001306013,0.00009657599,0.00004868046,0.00005997886,0.00002106242,0.00004629427,0.00003453477,0.0003190445,0.000007446708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007713143,"about_ca_system_score_gemma":0.00310191,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2723736,"about_ca_topic_score_gemma":0.535148,"domain_scores_codex":[0.9972066,0.00006263069,0.0002758551,0.0002012014,0.0001661833,0.002087496],"domain_scores_gemma":[0.9990332,0.00008714797,0.00008136856,0.0001631828,0.0000308621,0.0006043026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002416478,0.00002222305,0.895562,0.00004992446,0.00001218597,0.000002674655,0.0008247816,0.000005945391,0.000001920106,0.000583904,0.1009562,0.001954103],"study_design_scores_gemma":[0.0008589975,0.000004852942,0.9444237,0.00002808768,0.00000669985,0.00000473104,0.0001192917,0.00001676837,0.0000169785,0.00002244409,0.05439486,0.0001026363],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903573,0.0001622404,0.0001048754,0.002761327,0.002276272,0.001700034,0.0001120665,0.00007707413,0.002448821],"genre_scores_gemma":[0.9915478,0.00006036114,0.00009772171,0.003634804,0.002494132,0.00004668368,0.00006824243,0.00002143747,0.002028872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2627743,"threshold_uncertainty_score":0.7324717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04149182337507419,"score_gpt":0.3059371916599916,"score_spread":0.2644453682849174,"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."}}