{"id":"W7073805924","doi":"","title":"Alberta Physician Achievement Review","year":2000,"lang":"en","type":"article","venue":"Europe PMC (PubMed Central)","topic":"Photonic Crystal and Fiber Optics","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"MEDLINE; Government (linguistics); Public health; Work (physics); Agency (philosophy)","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":[0.00009355206,0.0002077349,0.0002173426,0.00001813682,0.00003934473,0.00002919818,0.000238775,0.00002900925,0.0006288189],"category_scores_gemma":[0.00001226455,0.0001917555,0.00008254966,0.0002659432,0.00002444023,0.000104665,0.00002550669,0.0001822699,0.0006487419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007264091,"about_ca_system_score_gemma":0.00001237717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001011261,"about_ca_topic_score_gemma":0.00001197042,"domain_scores_codex":[0.9985582,0.0000249092,0.0002562041,0.0002058657,0.000172667,0.0007822033],"domain_scores_gemma":[0.9993457,0.00001657007,0.0000200355,0.0003613097,0.00001445049,0.0002418893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003751148,0.0004140578,0.0006765634,0.002391316,0.0003444547,0.0001276035,0.00345274,0.00307617,0.002107566,0.0007940186,0.1698419,0.816736],"study_design_scores_gemma":[0.0001889274,0.00001315431,0.003920182,0.0002187201,0.00003715912,0.000005587175,0.000003673422,0.000390522,0.0005657629,0.00002079465,0.9943853,0.0002502384],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3211862,0.03354175,0.00007832016,0.00170881,0.001089692,0.001651229,0.00004488739,0.0008716589,0.6398274],"genre_scores_gemma":[0.7709147,0.1788804,0.0003701621,0.007246097,0.0009896382,0.0002698797,0.0001300981,0.0003254243,0.0408736],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8245434,"threshold_uncertainty_score":0.8338481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009204444144351362,"score_gpt":0.1881501959543463,"score_spread":0.1789457518099949,"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."}}