{"id":"W6942199449","doi":"10.14473/csda/hgzkpi/olcxq3","title":"OM05_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":[0.009065238,0.001920226,0.001741018,0.002331079,0.005533357,0.004759076,0.03734531,0.0007679027,0.005588374],"category_scores_gemma":[0.00440849,0.001934402,0.0004498715,0.009312475,0.02350911,0.004572553,0.04172052,0.005053506,0.7605833],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001703766,"about_ca_system_score_gemma":0.01095684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001834398,"about_ca_topic_score_gemma":0.002399768,"domain_scores_codex":[0.9787601,0.0008256426,0.001635763,0.007583355,0.00666372,0.004531406],"domain_scores_gemma":[0.9870222,0.000879638,0.001126058,0.008887756,0.0003975908,0.001686727],"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":[0.0000778044,0.0003769815,0.000009334402,0.0004434969,0.0002022743,0.0004870685,0.002151646,4.72096e-7,0.003832458,0.001819958,0.9865465,0.004052033],"study_design_scores_gemma":[0.0004384272,0.0001401879,0.0003040762,0.0005854356,0.001012838,0.00006913728,0.001868402,0.0007394626,0.00007768275,0.005778103,0.9868341,0.002152163],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006492945,0.0004928485,0.00004952451,0.0004861962,0.006498635,0.001640776,0.972131,0.0003766537,0.01825944],"genre_scores_gemma":[0.0001175666,0.0008838752,0.000976454,0.0005212667,0.006428412,0.0000919847,0.9895302,0.0002736814,0.001176559],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7549949,"threshold_uncertainty_score":0.9993541,"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."}}