{"id":"W4296001521","doi":"10.5281/zenodo.7083255","title":"VIDEO HD Watch Brahmāstra Part One: Shiva (2022)","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Art; Computer science; Computer graphics (images)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001327719,0.0007426742,0.0003890876,0.0005306486,0.001310183,0.002152561,0.0007584897,0.00104297,0.8946165],"category_scores_gemma":[0.000775289,0.0004182252,0.0003529753,0.0005876225,0.0002161616,0.002128068,0.001523839,0.001445455,0.7722816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005806283,"about_ca_system_score_gemma":0.0004468854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005543134,"about_ca_topic_score_gemma":0.01878527,"domain_scores_codex":[0.9999018,0.000007262394,0.000002486901,0.00001735339,0.00004098249,0.00003007631],"domain_scores_gemma":[0.9996378,0.00003169713,0.000006848366,0.00003524176,0.0001836954,0.0001046827],"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":[0.00002553138,0.000007236761,0.00003914317,0.00004949458,0.000001122048,0.00002715312,0.0000459284,0.00001446449,0.0002739416,0.0003303377,0.9874276,0.011758],"study_design_scores_gemma":[0.00001124262,0.00001353967,0.0006913815,0.00004334332,0.000001875969,0.00006610611,0.0001316937,0.00003852685,0.0001779852,0.0001699118,0.9986487,0.000005744162],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000750342,0.0004273068,0.0006321445,0.0006776011,0.001813597,0.0001215078,0.007584002,0.003638374,0.9843553],"genre_scores_gemma":[0.004347752,0.0003702449,0.0003408537,0.0004470143,0.0002964053,0.00005709731,0.005412924,0.001778374,0.9869494],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1053835,"threshold_uncertainty_score":0.1503167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06048652349922973,"score_gpt":0.231743509939789,"score_spread":0.1712569864405593,"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."}}