{"id":"W3157988686","doi":"10.82308/23809","title":"Developing a medical photography best practice guide and teaching technical and ethical principles to clinicians: an exploratory sequential mixed methods study","year":2019,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Digital Imaging in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medical education; Exploratory research; Photography; Best practice; Engineering ethics; Psychology; Medicine; Sociology; Engineering; Visual arts; Political science; Art; Social science","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":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.01914076,0.0006351275,0.001188693,0.0005850476,0.0005576881,0.0001666371,0.0005188856,0.0008062809,0.00004241895],"category_scores_gemma":[0.04228026,0.0005763308,0.0001401247,0.0005391766,0.0003911596,0.001116423,0.001208362,0.004664699,0.00007798747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000334406,"about_ca_system_score_gemma":0.0002461372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001626732,"about_ca_topic_score_gemma":0.0002100541,"domain_scores_codex":[0.9912755,0.00278586,0.001524589,0.001661883,0.001931288,0.0008208278],"domain_scores_gemma":[0.9936583,0.002901806,0.0003387875,0.001069266,0.0005431705,0.001488677],"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":[0.00187201,0.003978658,0.01374167,0.0008022399,0.001101177,0.002320622,0.0004968569,0.000005010274,0.08853659,0.07346095,0.00006975893,0.8136145],"study_design_scores_gemma":[0.01543802,0.01367729,0.01691322,0.005479141,0.002177814,0.004137869,0.02743954,0.0003669004,0.0125166,0.002954776,0.8957309,0.003167904],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.980414,0.0001438478,0.0001605411,0.001572756,0.001724672,0.001961995,0.00003622405,0.0004352521,0.01355072],"genre_scores_gemma":[0.8186304,0.00007228205,0.1720315,0.008569455,0.000271685,0.0001437411,0.00002104046,0.0001452183,0.0001146863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8956612,"threshold_uncertainty_score":0.9996688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06598198624613251,"score_gpt":0.419299402191494,"score_spread":0.3533174159453615,"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."}}