{"id":"W4398624170","doi":"10.7910/dvn/ii5jzg/fkwyil","title":"MSP_F_100_NFL_4_16.xlsx","year":2020,"lang":"pt","type":"dataset","venue":"Harvard Dataverse","topic":"Software Reliability and Analysis Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Context (archaeology); Resolution (logic); Computer science; History; Artificial intelligence; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00153367,0.001046876,0.001484238,0.0005855176,0.0006310264,0.001769356,0.008937061,0.0008058958,0.03996003],"category_scores_gemma":[0.003067034,0.001055774,0.0008363313,0.00254059,0.0005452374,0.001387566,0.007427483,0.002348716,0.852653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003142666,"about_ca_system_score_gemma":0.001256662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007693556,"about_ca_topic_score_gemma":0.0001136574,"domain_scores_codex":[0.9906099,0.0009569786,0.001260712,0.003008348,0.002642395,0.001521678],"domain_scores_gemma":[0.9901414,0.0009188536,0.0005163809,0.006601179,0.000467695,0.001354489],"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":[0.00006377268,0.0003685151,0.00005611389,0.0005456479,0.0004054956,0.001058189,0.0001697374,0.00005489877,0.00001950738,0.0002471796,0.9904214,0.006589537],"study_design_scores_gemma":[0.0006769634,0.0002579993,0.00006527831,0.0002036429,0.0002724728,0.00004382483,0.00008179608,0.0137828,0.00004675622,0.0001112688,0.9834094,0.001047776],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001138816,0.000009063383,0.02780769,0.0002870142,0.001253169,0.0006178353,0.9695318,0.0002955356,0.0001864518],"genre_scores_gemma":[0.0001187735,0.001996479,0.00286259,0.002037764,0.0008552853,0.00005289654,0.9906857,0.0000578863,0.001332642],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.812693,"threshold_uncertainty_score":0.9999529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03091838749115236,"score_gpt":0.2797477776123212,"score_spread":0.2488293901211688,"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."}}