{"id":"W6923716884","doi":"10.14473/csda/pug41w/2fn6ar","title":"OM05_CHPS501.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":[0.008664636,0.001936683,0.001754745,0.002412195,0.005613594,0.004777112,0.03728798,0.000772606,0.005648314],"category_scores_gemma":[0.004422889,0.001969399,0.0004588275,0.01040332,0.02344144,0.004350136,0.04153929,0.005118223,0.7499772],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001720586,"about_ca_system_score_gemma":0.01102763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001868579,"about_ca_topic_score_gemma":0.002617505,"domain_scores_codex":[0.9786186,0.0008226852,0.001662411,0.007722045,0.006671324,0.004502933],"domain_scores_gemma":[0.9871767,0.0008906244,0.001110362,0.008807153,0.0003860495,0.001629157],"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":[0.00008403198,0.0003673594,0.00001080371,0.0004566358,0.0002026044,0.0005382471,0.002461764,5.456788e-7,0.003017262,0.002043643,0.9863508,0.004466301],"study_design_scores_gemma":[0.0004415256,0.0001583303,0.0002643715,0.0005917714,0.001049132,0.00007313506,0.002154688,0.0007780551,0.00008325959,0.007766574,0.9844652,0.002174002],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006867521,0.000376038,0.00004768505,0.0005018931,0.006136843,0.001616406,0.9713014,0.0003856595,0.01956543],"genre_scores_gemma":[0.0001687623,0.0006130139,0.0009404153,0.0005700646,0.006274087,0.00008813008,0.9900134,0.000277229,0.00105485],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7443289,"threshold_uncertainty_score":0.9993377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06212580977156005,"score_gpt":0.38985262324203,"score_spread":0.3277268134704699,"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."}}