{"id":"W6950174235","doi":"10.5281/zenodo.4170800","title":"Monster Hunter (2020) Hela Filmen Svensk Hd 1080p xhg","year":2020,"lang":"sv","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Monster; Codec; Television series","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":[0.0003301751,0.000911822,0.0004436917,0.0009749862,0.001190179,0.004003886,0.0008237679,0.001018475,0.9031564],"category_scores_gemma":[0.001001111,0.0005718564,0.0005430984,0.00089483,0.0002910485,0.002922161,0.002802914,0.001274392,0.8112102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006746732,"about_ca_system_score_gemma":0.0004994705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005276799,"about_ca_topic_score_gemma":0.01552341,"domain_scores_codex":[0.9998035,0.0000135933,0.000006607524,0.00003832438,0.00009233072,0.00004563925],"domain_scores_gemma":[0.9995497,0.00004606602,0.0000132557,0.00005854513,0.0001448444,0.0001875918],"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":[0.00003633858,0.00001067123,0.00004568236,0.0000796808,0.00000186273,0.00003738103,0.00006925502,0.00001584593,0.0003048366,0.0007552402,0.9781728,0.02047032],"study_design_scores_gemma":[0.000007693754,0.000008041544,0.0003642946,0.00004427331,0.000001719628,0.00004857962,0.00008003661,0.0000181025,0.0001829895,0.0001195959,0.9991202,0.000004489897],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005854401,0.000516668,0.000564656,0.0004434587,0.001355341,0.0001131247,0.007084775,0.003872031,0.9854645],"genre_scores_gemma":[0.001611051,0.0003795722,0.000363907,0.0001937011,0.0001391786,0.00004073731,0.003288725,0.001793595,0.9921895],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0968436,"threshold_uncertainty_score":0.1381356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04987554142400662,"score_gpt":0.2209391286155392,"score_spread":0.1710635871915326,"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."}}