{"id":"W3110292868","doi":"10.31046/proceedings.2020.1842","title":"A Preview of Coming Attractions","year":2020,"lang":"en","type":"article","venue":"ATLA Summary of Proceedings","topic":"Religion, Society, and Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Accreditation; Session (web analytics); Key (lock); Library science; Political science; Computer science; Law; World Wide Web; Computer security","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":[],"consensus_categories":[],"category_scores_codex":[0.0003757688,0.00007248438,0.0002179,0.0000199047,0.0001655432,0.00001644963,0.0001909178,0.00006356149,0.00005706686],"category_scores_gemma":[0.0002328823,0.00007064068,0.0001121258,0.0003735936,0.0001747818,0.0002069588,0.00004195533,0.00008328895,0.000009867281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003314325,"about_ca_system_score_gemma":0.0001385958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001598493,"about_ca_topic_score_gemma":0.00001810224,"domain_scores_codex":[0.9990804,0.00001199474,0.0002899183,0.000144723,0.0003178256,0.0001551406],"domain_scores_gemma":[0.9993898,0.00006177173,0.0001933476,0.00003310146,0.0002112098,0.000110741],"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":[0.00002335491,0.00009902664,0.02575546,0.001003328,0.00008599624,7.759453e-7,0.448322,9.280876e-7,0.003877334,0.01694067,0.5020015,0.001889623],"study_design_scores_gemma":[0.0005693365,0.0001876253,0.02497496,0.0008056402,0.0001294114,0.000001651491,0.1702994,0.00003911033,0.003621705,0.005312303,0.7936088,0.0004499827],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8865361,0.01031711,0.00006539794,0.009285294,0.0001818288,0.0005189566,0.000004235481,0.00009954279,0.09299157],"genre_scores_gemma":[0.9770723,0.01983028,0.002339077,0.0004419997,0.0001448769,0.00001055679,0.000001668637,0.000007224498,0.0001520103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2916073,"threshold_uncertainty_score":0.2880643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05157964105810272,"score_gpt":0.3133711875516091,"score_spread":0.2617915464935064,"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."}}