{"id":"W6904610321","doi":"10.14288/1.0421050","title":"Nobody’s Perfect","year":2022,"lang":"en","type":"article","venue":"Open Collections","topic":"Syntax, Semantics, Linguistic Variation","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Storyboard; Narrative; Resultative; Focus (optics); Experiential learning","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":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002225663,0.00007129347,0.0001039983,0.00006382126,0.009151184,0.001501512,0.0002745254,0.00001034341,0.06700445],"category_scores_gemma":[0.0001254051,0.00007833778,0.0000461791,0.0001547003,0.00003696359,0.0000998093,0.0002598384,0.0001333212,0.00008088515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001382599,"about_ca_system_score_gemma":0.0001092104,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04327115,"about_ca_topic_score_gemma":0.01777194,"domain_scores_codex":[0.9993163,0.0000803775,0.0001451039,0.0001698191,0.0001547221,0.0001336482],"domain_scores_gemma":[0.9995556,0.00008113605,0.00006078762,0.0001839604,0.00008882074,0.00002971415],"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":[0.00002643741,0.0002214742,0.00003409897,0.000004589911,0.00006767341,0.000005999122,0.02122354,0.0002372094,0.00001253449,0.3763582,0.6015448,0.0002634204],"study_design_scores_gemma":[0.0003563957,0.0001356756,0.00003381383,0.000003206636,0.00004065797,0.00001286316,0.01269009,0.001118152,0.00001628622,0.06753502,0.9179054,0.0001524225],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000768405,0.000007957483,0.0001203892,0.006039368,0.003311193,0.0004131685,0.0001058257,0.00007333836,0.9891604],"genre_scores_gemma":[0.3885226,0.000001180407,0.0001870551,0.0002315289,0.0005986809,0.0002673984,0.00002694159,0.00001598546,0.6101487],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3877542,"threshold_uncertainty_score":0.999535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03748641478551109,"score_gpt":0.2553236690406862,"score_spread":0.2178372542551751,"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."}}