{"id":"W6923585280","doi":"10.14473/csda/hgzkpi/qsxlz5","title":"OM07_CHPS201.pdf","year":2024,"lang":"cs","type":"dataset","venue":"Czech Social Science Data Archive","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Standards Association","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","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","open_science","insufficient_payload"],"category_scores_codex":[0.009061769,0.001921449,0.001744025,0.002334785,0.005549551,0.004768606,0.03739942,0.0007693813,0.005646821],"category_scores_gemma":[0.004378315,0.001935573,0.0004503404,0.009325886,0.02357818,0.004584359,0.04179068,0.00506311,0.7607722],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001711484,"about_ca_system_score_gemma":0.01092656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001850934,"about_ca_topic_score_gemma":0.002422893,"domain_scores_codex":[0.9787324,0.0008231729,0.001638217,0.007592182,0.006678429,0.004535606],"domain_scores_gemma":[0.9870262,0.0008629161,0.001127569,0.008894868,0.0004002321,0.00168825],"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":[0.00007876912,0.0003778157,0.000009395857,0.0004469061,0.0002030841,0.0004876241,0.002212786,4.786804e-7,0.003157381,0.002003249,0.9867343,0.004288246],"study_design_scores_gemma":[0.0004441564,0.0001679078,0.0002358189,0.0005923422,0.001006414,0.00006914964,0.001903597,0.000744048,0.00008270677,0.007553962,0.9850482,0.002151645],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006170471,0.0003849189,0.00005004163,0.0005121892,0.006542474,0.001641925,0.9710298,0.0003764252,0.01940058],"genre_scores_gemma":[0.0001462644,0.0006296643,0.0009639561,0.000536676,0.006461929,0.00009209293,0.9897019,0.0002737682,0.00119371],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7551254,"threshold_uncertainty_score":0.9993529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06245483343033024,"score_gpt":0.3899193904917748,"score_spread":0.3274645570614445,"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."}}