{"id":"W6997380271","doi":"","title":"Watch~(Movie) *She Never Died (2019)* online Full H.D","year":2020,"lang":"en","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Comedy; Download; Immortality; Comics; Text messaging; Box office; Movie theater; Online presence management","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":[0.0002303083,0.0006399521,0.0003452924,0.0006355164,0.00222317,0.002909167,0.0006116393,0.0009668952,0.8781909],"category_scores_gemma":[0.001175731,0.0002807404,0.0004101965,0.0004781088,0.0003058413,0.002287175,0.002755294,0.001392131,0.737017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007611836,"about_ca_system_score_gemma":0.0004643812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01024908,"about_ca_topic_score_gemma":0.03676498,"domain_scores_codex":[0.999824,0.00001202496,0.000004658523,0.00002335806,0.00007999543,0.0000560142],"domain_scores_gemma":[0.9993057,0.00004091434,0.00001609587,0.00006705937,0.0002818049,0.0002884079],"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":[0.00001920339,0.000007133086,0.00007223707,0.00003294746,0.000001218755,0.0000355436,0.00005615349,0.000006748976,0.0001476207,0.0004196446,0.9873027,0.01189892],"study_design_scores_gemma":[0.000006054495,0.00001038187,0.0007165126,0.00004312939,0.000001621507,0.00006342252,0.0001707988,0.00002277759,0.0001573091,0.00009446766,0.9987077,0.000005859539],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001127328,0.0002733606,0.0004271793,0.0009588244,0.001749807,0.000122289,0.007469048,0.002999317,0.9848728],"genre_scores_gemma":[0.003019924,0.0002235034,0.0002767594,0.0004557377,0.0001793131,0.00004126943,0.003275396,0.001295743,0.9912325],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1218091,"threshold_uncertainty_score":0.1737459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01756223211502558,"score_gpt":0.2615862769821022,"score_spread":0.2440240448670766,"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."}}