{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007396068,0.0001562452,0.000150942,0.0000580437,0.0003341273,0.0001260352,0.0001163548,0.00004719905,0.0003693998],"category_scores_gemma":[0.00004543335,0.0001099345,0.0001223831,0.00005138923,0.0001382352,0.0001837852,0.00001106415,0.00009808085,0.0002693424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004925926,"about_ca_system_score_gemma":0.00001717324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002526813,"about_ca_topic_score_gemma":0.0003347317,"domain_scores_codex":[0.999228,0.00004563253,0.000181826,0.0001885418,0.0001328293,0.0002231977],"domain_scores_gemma":[0.9995569,0.00003230986,0.00004550802,0.0001783686,0.00010702,0.00007990566],"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":[0.00002851819,0.0003223812,0.000614392,0.0000288433,0.0001220945,0.00002085702,0.06732486,0.000001742482,0.003962946,0.3304361,0.5962125,0.0009247556],"study_design_scores_gemma":[0.0001879109,0.00004632529,0.00002366543,0.00001520524,0.000009990948,0.000004203477,0.003846154,0.000005321405,0.00501537,0.002656731,0.9879953,0.0001938001],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8453979,0.01225533,0.0001156981,0.001928344,0.01859832,0.0006344613,0.0001086999,0.0009396691,0.1200216],"genre_scores_gemma":[0.9476029,0.0001144466,0.000120774,0.001751222,0.04057228,0.00002845319,0.0000142517,0.00001946041,0.009776231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3917828,"threshold_uncertainty_score":0.4483,"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."}}