{"id":"W4398627424","doi":"10.7910/dvn/ii5jzg/1qlk2b","title":"MSP_F_100_NFL_4_6.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); Computer science; History; 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":[0.001553589,0.001035701,0.001465024,0.0005805177,0.0006286426,0.001758055,0.008886039,0.0007970493,0.03986689],"category_scores_gemma":[0.003099324,0.001043769,0.0008330512,0.002536249,0.0005417113,0.00139687,0.007397357,0.002328397,0.8513643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000311841,"about_ca_system_score_gemma":0.001256312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007681706,"about_ca_topic_score_gemma":0.0001163026,"domain_scores_codex":[0.9906478,0.000976455,0.001251406,0.002986749,0.002628469,0.00150915],"domain_scores_gemma":[0.9901785,0.0009288244,0.0005117567,0.006573477,0.0004630719,0.001344333],"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":[0.0000628413,0.0003584216,0.00005481942,0.000540429,0.000403055,0.0009643718,0.0001645054,0.00005472762,0.00002008865,0.0002720396,0.9907876,0.006317092],"study_design_scores_gemma":[0.0006753132,0.0002484039,0.00006454585,0.0002045051,0.0002681909,0.00003951967,0.00008162508,0.01440469,0.00004777188,0.0001128579,0.9828175,0.001035075],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001076003,0.000008599922,0.02795466,0.0002953525,0.001246294,0.0006073516,0.9693958,0.000290593,0.0001906105],"genre_scores_gemma":[0.0001094153,0.00203048,0.002877171,0.002002895,0.0008559818,0.00005230489,0.9907046,0.00005703969,0.001310106],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8114973,"threshold_uncertainty_score":0.9999733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03104582651259454,"score_gpt":0.2799452977929295,"score_spread":0.2488994712803349,"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."}}