{"id":"W7052964034","doi":"","title":"Storytelling Revisited 2018: Gender, Language, Music, Cinema","year":2019,"lang":"en","type":"book","venue":"RIUVic","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University of Victoria","keywords":"Movie theater; Storytelling; Narrative; Photography; Reflection (computer programming)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002331928,0.0003650582,0.00047885,0.000234183,0.00008105459,0.00007333834,0.0004349134,0.0001478863,0.5687103],"category_scores_gemma":[0.000004817925,0.0003548536,0.0002315167,0.0001070856,0.00004186184,0.00001083496,0.000217732,0.0006270268,0.006345278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003411933,"about_ca_system_score_gemma":0.0004363358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001825654,"about_ca_topic_score_gemma":0.00001093212,"domain_scores_codex":[0.9980534,0.00005840318,0.0003619911,0.0005352726,0.0005569994,0.0004338982],"domain_scores_gemma":[0.9985329,0.0001212815,0.0002070886,0.000885317,0.000112234,0.0001412135],"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":[0.000008787999,0.00004390418,0.0001212874,0.0002586967,0.00011599,0.00001327931,0.0002267135,0.000004059846,0.0003515336,0.004434015,0.8456387,0.148783],"study_design_scores_gemma":[0.0004648398,0.00004072216,0.0001143065,0.0001634036,0.00007190516,5.657498e-7,0.0001319796,0.0002629033,0.0000386287,0.0002463046,0.9980899,0.0003745587],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004886786,0.001519781,0.0005103125,0.00007534693,0.0003301674,0.0008351103,0.0001245563,0.0000564909,0.9960595],"genre_scores_gemma":[0.0008937721,0.00002736289,0.0001864563,0.0001185623,0.001492152,0.00002801498,0.0007143109,0.00006932056,0.99647],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5623651,"threshold_uncertainty_score":0.9998903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02291397550569823,"score_gpt":0.2658991747424366,"score_spread":0.2429851992367383,"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."}}