{"id":"W6923542804","doi":"10.14473/csda/qjwlgn/oyj1i9","title":"K02_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":"Identification (biology); Product (mathematics); Process (computing)","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":[0.001440466,0.004014825,0.001870881,0.004743228,0.001351696,0.005283988,0.004102858,0.003169111,0.2260481],"category_scores_gemma":[0.007452724,0.001434339,0.001965938,0.008411748,0.0008652465,0.003106103,0.004042059,0.002664447,0.3808383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002345762,"about_ca_system_score_gemma":0.003327187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03848675,"about_ca_topic_score_gemma":0.04886762,"domain_scores_codex":[0.9982993,0.0002249519,0.0001634311,0.0004920175,0.0003377489,0.0004826035],"domain_scores_gemma":[0.9960855,0.0007148911,0.0002557489,0.001341285,0.001052696,0.0005498178],"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":[0.00003191715,0.000008550409,0.0001354247,0.0001912288,0.000009501609,0.000006730984,0.00001002973,0.0000646351,0.0000501083,0.0001691949,0.9987034,0.0006194197],"study_design_scores_gemma":[0.0003319471,0.00002021855,0.002464201,0.0001799303,0.00002170541,0.00004342165,0.000116457,0.0004089364,0.0004619533,0.0009237044,0.9949852,0.00004236614],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000487596,0.00002016346,0.00003192178,0.0000523786,0.00002919334,0.000007235355,0.9985996,0.0006946715,0.0005160552],"genre_scores_gemma":[0.0001756225,0.00002742693,0.000118247,0.0000369685,0.000008149989,0.00004095862,0.9985373,0.0002244648,0.0008308523],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7739519,"threshold_uncertainty_score":0.7562063,"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."}}