{"id":"W6904957461","doi":"10.14473/csda/pug41w/qy7yrw","title":"K01_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":"Product (mathematics); Identification (biology); Work (physics)","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":[0.008213935,0.001906215,0.001727027,0.002372303,0.005560875,0.004718821,0.03696711,0.0007591732,0.005709597],"category_scores_gemma":[0.004222952,0.001938493,0.000450671,0.01026792,0.02312722,0.004286711,0.04126082,0.005042952,0.7505786],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00169336,"about_ca_system_score_gemma":0.01083807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001528613,"about_ca_topic_score_gemma":0.002415328,"domain_scores_codex":[0.9788986,0.0008108321,0.001634103,0.007621998,0.006592785,0.004441654],"domain_scores_gemma":[0.987376,0.0008525364,0.00109299,0.008697828,0.0003744246,0.001606271],"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":[0.00007934954,0.0003605087,0.00001204017,0.0004543003,0.0001984544,0.0005305803,0.002270544,5.407933e-7,0.003215083,0.00199515,0.9864298,0.004453691],"study_design_scores_gemma":[0.000431927,0.0001551838,0.0002784873,0.0005879733,0.001025279,0.0000709304,0.00204827,0.0007894821,0.00006658635,0.006543668,0.9858592,0.002143044],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007821251,0.0003676932,0.00004777752,0.0005226235,0.005955674,0.001598321,0.9726999,0.0003789088,0.01835094],"genre_scores_gemma":[0.0001657238,0.0005849903,0.0009150318,0.0005585704,0.006194228,0.00008655422,0.9901029,0.0002725662,0.001119445],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.744869,"threshold_uncertainty_score":0.9993682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06272079942541939,"score_gpt":0.3908345918727136,"score_spread":0.3281137924472942,"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."}}