{"id":"W6905019614","doi":"10.14473/csda/xckfy2/6bgds9","title":"OM05_CHPS101.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":[0.008847577,0.001939729,0.001759505,0.002384468,0.005677848,0.004803693,0.03741561,0.0007738827,0.005720863],"category_scores_gemma":[0.00444541,0.001971717,0.0004578049,0.01035423,0.02363521,0.004361585,0.04223566,0.005149318,0.7521657],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001734639,"about_ca_system_score_gemma":0.01096274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001868078,"about_ca_topic_score_gemma":0.002422061,"domain_scores_codex":[0.9785727,0.0008269685,0.001666188,0.007729551,0.006688497,0.004516082],"domain_scores_gemma":[0.9871474,0.0008893893,0.001112245,0.008828971,0.0003889013,0.00163311],"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":[0.00008189124,0.0003690316,0.000009872147,0.0004585951,0.0002030508,0.0005396557,0.00251826,5.703455e-7,0.003070625,0.002081266,0.9863736,0.004293567],"study_design_scores_gemma":[0.0004456943,0.0001586674,0.0002393104,0.0005931975,0.001049827,0.00007322542,0.002303493,0.0008036766,0.00008384716,0.007942005,0.9841301,0.002176899],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007300943,0.0003736902,0.00004808786,0.0005076677,0.006161832,0.00162564,0.9710786,0.0003858336,0.01974568],"genre_scores_gemma":[0.0001719965,0.0005710938,0.0009214447,0.0005596781,0.006324781,0.00009053036,0.9900306,0.000280288,0.001049537],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7464448,"threshold_uncertainty_score":0.9993346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06164679587187799,"score_gpt":0.388732956421573,"score_spread":0.327086160549695,"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."}}