{"id":"W4281781752","doi":"10.26443/ijwpc.v9i2.336","title":"From science to adapted patient education in retinal optical coherence tomography","year":2022,"lang":"en","type":"article","venue":"International Journal of Whole Person Care","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Optical coherence tomography; Coherence (philosophical gambling strategy); Retinal; Focus (optics); Field (mathematics); Optometry; Health care; Medical physics; Health professionals; Tomography; Medical education; Ophthalmology; Medicine; Computer science; Optics; Radiology; Physics; Political science; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.01625654,0.0005271919,0.0004740965,0.001280844,0.002362248,0.005636499,0.001410931,0.005824224,0.01145143],"category_scores_gemma":[0.03474483,0.0003645279,0.0004930708,0.0007314688,0.0132683,0.009162482,0.0130158,0.01117377,0.001932151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005574594,"about_ca_system_score_gemma":0.01051743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003216808,"about_ca_topic_score_gemma":0.005609821,"domain_scores_codex":[0.9898818,0.007078536,0.0004722767,0.0004641856,0.001430462,0.0006727813],"domain_scores_gemma":[0.986207,0.009393218,0.0004900193,0.000611675,0.001000285,0.002297835],"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":[0.0001349092,0.0007114467,0.004097945,0.001931988,0.00004022015,0.001175246,0.02608031,0.0009899674,0.0008633125,0.2885159,0.1249857,0.5504731],"study_design_scores_gemma":[0.000109169,0.0005278339,0.006311727,0.006841775,0.00003661281,0.001870739,0.01909406,0.0009057744,0.001287521,0.3926344,0.5702733,0.0001071082],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0169661,0.02709615,0.02217779,0.8319389,0.008143889,0.0001393969,0.00008023278,0.0003069933,0.09315065],"genre_scores_gemma":[0.5491136,0.06676429,0.05365388,0.2963347,0.00788267,0.0006346547,0.0001545724,0.0003892682,0.02507238],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01625654,"threshold_uncertainty_score":0.08597386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01221271619461776,"score_gpt":0.3094756840308377,"score_spread":0.2972629678362199,"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."}}