{"id":"W6910749105","doi":"10.48579/pro/1u4upr/psok8c","title":"data_surveys.csv","year":2024,"lang":"en","type":"dataset","venue":"data.InDoRES","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Bank Note Company (Canada)","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":["metaepi_narrow","open_science","insufficient_payload"],"category_scores_codex":[0.00292103,0.00128755,0.001240366,0.001083561,0.0002038619,0.001184969,0.01093345,0.0008111541,0.006304396],"category_scores_gemma":[0.001800387,0.001167804,0.0001755383,0.001266499,0.0004587333,0.001273286,0.01133958,0.002316343,0.6726717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002345003,"about_ca_system_score_gemma":0.0007013651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00559448,"about_ca_topic_score_gemma":0.01293155,"domain_scores_codex":[0.9921392,0.0006558331,0.001071056,0.003172962,0.001718073,0.001242927],"domain_scores_gemma":[0.9821702,0.0005979708,0.0004630064,0.01624266,0.0001126072,0.0004135221],"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":[0.00006807376,0.0001698261,0.00002487365,0.0006948849,0.0006044285,0.001090088,0.00001056087,0.000001279835,0.00001445318,0.00002144606,0.9967881,0.0005119879],"study_design_scores_gemma":[0.0003955498,0.00004410042,0.0001385553,0.0004185379,0.0008169491,0.00008992827,0.00002252515,0.00004488519,0.00001446806,0.0001297339,0.9966043,0.00128043],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000008289426,0.003625794,0.000002799133,0.000103268,0.00347683,0.0006828658,0.9910526,0.0006590541,0.0003884725],"genre_scores_gemma":[0.000003138951,0.0008374809,0.0001959235,0.0002807673,0.002410844,0.00008794918,0.9951529,0.0004418874,0.0005891424],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6663674,"threshold_uncertainty_score":0.9999876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1037576329363141,"score_gpt":0.3748277455375453,"score_spread":0.2710701126012313,"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."}}