{"id":"W6912433650","doi":"10.5281/zenodo.4068647","title":"1080p@full#HD Watch CINEMAX online The Invisible Man (2020) egn","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Literature Analysis and Criticism","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Staring; Pretext; Scapegoat; Paraphernalia; Ridiculous","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003904721,0.0001641581,0.0002536379,0.00007053115,0.001048627,0.000500802,0.0006422211,0.00006948669,0.01839414],"category_scores_gemma":[0.0006488162,0.000118288,0.0001191907,0.000907915,0.0001263961,0.0001468041,0.000648339,0.0004809355,0.005401738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005237365,"about_ca_system_score_gemma":0.000006079605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001038204,"about_ca_topic_score_gemma":5.032577e-7,"domain_scores_codex":[0.9981996,0.0002082708,0.0003194605,0.0004211038,0.0005042408,0.0003473467],"domain_scores_gemma":[0.9985151,0.00002397667,0.00007281268,0.0005256189,0.0005403102,0.0003221833],"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":[0.000207251,0.0002602801,0.00002077646,0.0001573615,0.0001740461,0.0001387914,0.003407493,0.00001903316,0.01613401,0.00316366,0.9444073,0.03191002],"study_design_scores_gemma":[0.0007044281,0.0004785041,0.0005270871,0.00004175206,0.0001138169,0.0001832284,0.0009181384,0.001013819,0.000508139,0.00009079066,0.995284,0.00013636],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2386239,0.001743175,0.004521096,0.4741713,0.0002698256,0.002077609,0.0007533659,0.002587117,0.2752527],"genre_scores_gemma":[0.9773638,0.0002404639,0.0003300696,0.01260061,0.001052184,5.060417e-8,0.002914303,0.001088828,0.00440966],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7387399,"threshold_uncertainty_score":0.9953727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03716358475239896,"score_gpt":0.2645121986754878,"score_spread":0.2273486139230888,"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."}}