{"id":"W7063045675","doi":"","title":"WAtch. Monster Hunter [2020] Full Movie Eng-Sub","year":2020,"lang":"en","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Monster; Adventure; Wonder; Anime; Fantasy; Selfie","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":[0.0001903231,0.001177847,0.0005456559,0.000931533,0.001567126,0.002949922,0.001010932,0.001031845,0.906961],"category_scores_gemma":[0.001188531,0.00054974,0.000476876,0.001071443,0.0002804981,0.002763243,0.002805702,0.001056637,0.8664804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006330971,"about_ca_system_score_gemma":0.0004289395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0110933,"about_ca_topic_score_gemma":0.02781313,"domain_scores_codex":[0.9998735,0.000008098576,0.000003576435,0.00002319109,0.00005019333,0.00004143219],"domain_scores_gemma":[0.9993942,0.00003632949,0.0000155814,0.00006678155,0.0002457509,0.000241327],"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":[0.00002590173,0.000006367749,0.00005022811,0.00004380973,0.000001416007,0.00002607266,0.00002975077,0.00001241334,0.0001331559,0.0002738868,0.9884247,0.01097243],"study_design_scores_gemma":[0.000009512672,0.000009732938,0.0004587947,0.00003994971,0.000002317243,0.0000503773,0.00007412961,0.00005269999,0.0001636012,0.00013186,0.9989988,0.000008174279],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005391262,0.0002944085,0.0007706173,0.0003438116,0.0008195344,0.0001460439,0.009879482,0.009577294,0.9776297],"genre_scores_gemma":[0.002805419,0.0003385216,0.0007060508,0.0004033392,0.000234668,0.00007788246,0.007328713,0.004415832,0.9836896],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09303904,"threshold_uncertainty_score":0.1327088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01015834417488778,"score_gpt":0.2463165180038273,"score_spread":0.2361581738289395,"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."}}