{"id":"W2975408275","doi":"10.15353/cjo.v81i3.1352","title":"Innovation in Focus","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Optometry","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Association Of Optometrists","funders":"","keywords":"Focus (optics); Health care; Engineering ethics; Psychology; Computer science; Management science; Engineering; Political science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003440695,0.00004511103,0.0001802465,0.002100622,0.00001111891,0.00001743025,0.00005610459,0.00003263462,0.000323829],"category_scores_gemma":[0.0001867767,0.00003846577,0.00005148366,0.00172554,0.00001733153,0.00007902689,0.000001983776,0.0002135309,0.0000460652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001317998,"about_ca_system_score_gemma":0.0004796433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006424577,"about_ca_topic_score_gemma":0.0001092874,"domain_scores_codex":[0.9994018,0.00001200661,0.0002862875,0.00005161554,0.0001169487,0.0001313602],"domain_scores_gemma":[0.9994172,0.00001574632,0.0001151497,0.00007440498,0.0002086841,0.000168755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009393334,0.000006273538,0.9931799,0.00001312898,0.0000227754,0.0001780523,0.00005380449,0.00001232711,0.001039166,0.00006436538,0.0006863863,0.004734407],"study_design_scores_gemma":[0.0008595329,0.0001163098,0.9914721,0.0002569949,0.0000359544,0.000440366,0.000258151,0.0001619275,0.001115757,0.0000418935,0.005171587,0.00006947377],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915205,0.000397089,0.0001050491,0.001875842,0.0001245686,0.00002883963,8.184548e-7,0.0000013739,0.005945973],"genre_scores_gemma":[0.9982374,0.000005416631,0.0004860221,0.000311292,0.00007895623,1.200617e-7,0.000001318383,0.00000616656,0.0008733224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006716939,"threshold_uncertainty_score":0.3545701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01031253971880497,"score_gpt":0.3107391076499998,"score_spread":0.3004265679311948,"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."}}