{"id":"W7033865950","doi":"","title":"(Repelis) — La viuda Película Completa en Espanol Latino","year":2020,"lang":"es","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wright; Latin Americans; Sack; Instant messaging","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":[],"category_scores_codex":[0.0004576072,0.0003865458,0.0001213667,0.0006855077,0.002054338,0.00290096,0.0003962134,0.0008096918,0.1121851],"category_scores_gemma":[0.0008779968,0.0001560372,0.0002074026,0.0008649152,0.0008790583,0.002050673,0.003253555,0.001609858,0.02031359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00168665,"about_ca_system_score_gemma":0.002076124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03067874,"about_ca_topic_score_gemma":0.08134618,"domain_scores_codex":[0.9997866,0.00004596573,0.000007234979,0.0000363955,0.00006257123,0.00006128995],"domain_scores_gemma":[0.9996144,0.00004368095,0.00002595344,0.00003230481,0.0001544705,0.0001291749],"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":[0.000116137,0.00007812675,0.003980173,0.0005060791,0.00001277228,0.0008388397,0.01296115,0.0000728593,0.003098618,0.03315474,0.743047,0.2021336],"study_design_scores_gemma":[0.000005409978,0.00001193003,0.003871925,0.0001226913,0.000002369651,0.00009914464,0.003044561,0.00001476059,0.0002209809,0.000367467,0.9922335,0.000005277071],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03651194,0.006424903,0.001086832,0.01510662,0.003141579,0.000142626,0.002849228,0.0006045572,0.9341318],"genre_scores_gemma":[0.09950694,0.004171707,0.001124641,0.004084423,0.0005614216,0.0001484038,0.001863072,0.0003497913,0.8881896],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8878149,"threshold_uncertainty_score":0.3752966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04387619803107766,"score_gpt":0.3205375430718991,"score_spread":0.2766613450408214,"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."}}