{"id":"W6923759074","doi":"10.14473/csda/qjwlgn/z8sgys","title":"OM02_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":"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001405105,0.003582261,0.001956064,0.005738957,0.001197421,0.004939105,0.003626434,0.003026905,0.2388458],"category_scores_gemma":[0.006689264,0.001294469,0.001579191,0.01009925,0.0008010899,0.002661043,0.003830613,0.002240271,0.3862582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002252858,"about_ca_system_score_gemma":0.003196917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02674897,"about_ca_topic_score_gemma":0.03221903,"domain_scores_codex":[0.9983889,0.0002027422,0.0001571786,0.0004388551,0.0003499829,0.0004622346],"domain_scores_gemma":[0.9970984,0.0005858936,0.0002416198,0.0009080255,0.0007494926,0.0004165431],"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":[0.00003144169,0.000009747255,0.0001347946,0.0002305475,0.000008430005,0.000007107596,0.00001067996,0.00005925118,0.00005576845,0.0002003425,0.9984685,0.0007834052],"study_design_scores_gemma":[0.0002461434,0.0000161413,0.001950375,0.0001618675,0.00001787163,0.00002681128,0.00008371955,0.0002340671,0.0004156037,0.0008102616,0.996009,0.00002822633],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000426542,0.00002007971,0.0000277303,0.00004391038,0.00002138552,0.000006104583,0.9988457,0.0004400574,0.0005524085],"genre_scores_gemma":[0.0001577353,0.00003009647,0.000109941,0.00003141877,0.000009462638,0.00004115776,0.9985647,0.0001738854,0.0008816894],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7611542,"threshold_uncertainty_score":0.7990189,"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."}}