{"id":"W2048180886","doi":"10.1111/j.1552-6356.2003.tb00555.x","title":"“Lights! Camera! Expert!”","year":2003,"lang":"en","type":"article","venue":"AWHONN Lifelines","topic":"Photography and Visual Culture","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer vision; Artificial intelligence; Computer science; Medicine; Computer graphics (images)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004338111,0.0005967146,0.0001901932,0.0008428973,0.002666156,0.003165744,0.0004798179,0.001317149,0.6025047],"category_scores_gemma":[0.001268351,0.000362199,0.0002817822,0.0004749297,0.0004129636,0.002336619,0.001920147,0.001252083,0.2752592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005699033,"about_ca_system_score_gemma":0.0004477706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005566385,"about_ca_topic_score_gemma":0.0190533,"domain_scores_codex":[0.99977,0.00005200522,0.000007831116,0.00003687796,0.00007677558,0.00005654882],"domain_scores_gemma":[0.999415,0.00007907032,0.00002189284,0.00008266119,0.0002004475,0.000200986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002499032,0.00001033686,0.0001201858,0.00002522106,7.341829e-7,0.00005060596,0.0001886823,0.000007585521,0.000398274,0.001387559,0.9588913,0.03889457],"study_design_scores_gemma":[0.000003822732,0.000005813305,0.0004058027,0.00001902346,0.000001234054,0.00007627142,0.0002757555,0.00004780428,0.0003083018,0.0002706229,0.9985814,0.000004254581],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002130592,0.0003401449,0.002171088,0.004537072,0.003107441,0.00008485315,0.0007319328,0.003959938,0.9829369],"genre_scores_gemma":[0.00838966,0.0002717646,0.001692729,0.002147585,0.0006196134,0.00002898424,0.0005564,0.001159177,0.985134],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6025047,"threshold_uncertainty_score":0.5669788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04969352341364073,"score_gpt":0.2738243816759275,"score_spread":0.2241308582622868,"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."}}