{"id":"W2337055381","doi":"10.1080/23268743.2016.1148331","title":"Porn in the art gallery: collecting a genre","year":2016,"lang":"en","type":"article","venue":"Porn Studies","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trent University","funders":"","keywords":"Art; Visual arts; Art history; Computer graphics (images); Computer science","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":[0.0006508688,0.000126118,0.0003807507,0.0001249047,0.0001652739,0.00001562068,0.0001385433,0.00003017615,0.00005635112],"category_scores_gemma":[0.0008038279,0.0000748872,0.00007369869,0.0002607711,0.00008832305,0.0000687886,0.00009500153,0.00007009338,0.0005943897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006549542,"about_ca_system_score_gemma":0.000008806087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002924143,"about_ca_topic_score_gemma":0.0005250888,"domain_scores_codex":[0.9990293,0.00001487143,0.0003722746,0.0002576424,0.0000381535,0.0002877751],"domain_scores_gemma":[0.9992578,0.0003487107,0.0001423306,0.0001981222,0.00003197135,0.00002107978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003250313,0.0001350565,0.585951,0.00006265083,0.000417897,0.00004910434,0.02299275,0.000001237206,0.00004156012,0.02733385,0.3570714,0.005911032],"study_design_scores_gemma":[0.001565337,0.0001153935,0.2521605,0.0001133801,0.00001717083,0.0000154617,0.01607865,0.000006999423,0.00004415612,0.03194172,0.6975292,0.0004120521],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5948545,0.05569968,0.0002000059,0.06157679,0.001793926,0.0007318879,0.00008559678,0.00009993932,0.2849577],"genre_scores_gemma":[0.9795825,0.005917893,0.0000929965,0.0006523419,0.0002129937,0.0001215403,8.155967e-7,0.00001250878,0.01340637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3847281,"threshold_uncertainty_score":0.7639875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09890872501715157,"score_gpt":0.2765846682691688,"score_spread":0.1776759432520172,"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."}}