{"id":"W6961320128","doi":"10.14473/csda/qjwlgn/7otvx8","title":"D09_CHPS301.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":"Set (abstract data type); Identification (biology); Process (computing); Context (archaeology)","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":[0.008847414,0.001911772,0.00173634,0.002347493,0.005645239,0.004769785,0.03722131,0.0007629868,0.005400829],"category_scores_gemma":[0.004473516,0.001942905,0.0004508369,0.01007334,0.02348583,0.004320431,0.0420243,0.005006384,0.7500823],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001721895,"about_ca_system_score_gemma":0.01074889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001706214,"about_ca_topic_score_gemma":0.002221518,"domain_scores_codex":[0.9786878,0.0008174048,0.001641221,0.007648509,0.006739948,0.004465117],"domain_scores_gemma":[0.9872937,0.0008756505,0.00109873,0.008729109,0.0003896639,0.001613123],"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":[0.0000800846,0.0003627022,0.00001097785,0.0004584151,0.0001989923,0.000532532,0.002366045,5.489487e-7,0.003563144,0.002146084,0.9866893,0.003591219],"study_design_scores_gemma":[0.000438165,0.0001558505,0.0002702396,0.0005868549,0.001028275,0.00007019413,0.002133414,0.0007914239,0.00008475373,0.008144329,0.9841485,0.00214797],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007848094,0.0003565212,0.0000411088,0.0005186387,0.006236915,0.001600653,0.9716479,0.0003863452,0.01913342],"genre_scores_gemma":[0.0001931168,0.0005595969,0.0008937521,0.0005549323,0.006248836,0.00008864895,0.9901299,0.0002756459,0.001055546],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7446814,"threshold_uncertainty_score":0.9993626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06118593941222717,"score_gpt":0.3896764827343625,"score_spread":0.3284905433221353,"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."}}