{"id":"W7093581240","doi":"","title":"Light Plot","year":2017,"lang":"","type":"article","venue":"Scholar Works  (Boise State University)","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Plot (graphics); Window (computing); Quarter (Canadian coin)","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":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006664988,0.0004892267,0.0009248467,0.0008599889,0.003913543,0.001129331,0.001567265,0.0002991516,0.0007161559],"category_scores_gemma":[0.0005640993,0.0006712142,0.0004240499,0.00043917,0.0003064072,0.002725372,0.001071248,0.001266891,0.002494527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000370155,"about_ca_system_score_gemma":0.0001145101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002771678,"about_ca_topic_score_gemma":0.0004613039,"domain_scores_codex":[0.9972398,0.00005443406,0.0005659049,0.001080201,0.0001060138,0.0009536686],"domain_scores_gemma":[0.996507,0.00006584492,0.001033951,0.001730343,0.0001573373,0.0005054881],"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":[0.002176535,0.001873322,0.590151,0.0006676323,0.004561216,0.004997217,0.01866657,0.0003173533,0.0002439802,0.2123306,0.04405795,0.1199566],"study_design_scores_gemma":[0.002898504,0.0001339898,0.05626237,0.0003329664,0.0001045998,0.000003684229,0.001496849,0.0001168621,0.0001181889,0.002862716,0.9347941,0.0008751731],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6041242,0.01405052,0.0007041507,0.007264965,0.006073463,0.0006640487,0.0003976055,0.0001129584,0.366608],"genre_scores_gemma":[0.8382342,0.0397523,0.0003718738,0.0001352379,0.0003577128,0.000001338966,0.00001054817,0.00006570645,0.1210711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8907362,"threshold_uncertainty_score":0.9999076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02333989156993375,"score_gpt":0.2013672813544779,"score_spread":0.1780273897845442,"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."}}