{"id":"W6886096320","doi":"10.14473/csda/hgzkpi/34muki","title":"OM12_CHPS201.R","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); Term (time); Set (abstract data type)","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":[0.003196291,0.004707582,0.003913048,0.006490834,0.002095088,0.005310389,0.005581209,0.002558021,0.3032357],"category_scores_gemma":[0.01379703,0.002381757,0.003204874,0.0075531,0.00100442,0.003342964,0.004699951,0.00311939,0.3701195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002012338,"about_ca_system_score_gemma":0.003620307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01389028,"about_ca_topic_score_gemma":0.02312703,"domain_scores_codex":[0.996965,0.0005136707,0.0002618474,0.00126515,0.000517097,0.0004772373],"domain_scores_gemma":[0.9960944,0.001193873,0.00024876,0.001468666,0.0007028974,0.000291454],"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":[0.0000913013,0.00001606307,0.0003274649,0.0006155314,0.00007653686,0.00001390888,0.00003224826,0.0001709196,0.0003158312,0.0004915651,0.9955528,0.002295784],"study_design_scores_gemma":[0.0003608741,0.00001999837,0.002319751,0.0001879643,0.000105227,0.00005326773,0.00006118124,0.0007579074,0.001608654,0.00329893,0.9911489,0.00007731407],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001742255,0.00006488698,0.0008608684,0.00005833468,0.00005241879,0.00003835714,0.9878735,0.009653492,0.001223984],"genre_scores_gemma":[0.0006955517,0.00005770181,0.002811576,0.00007976874,0.00002186433,0.0003981346,0.9870749,0.006946587,0.001914012],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3032357,"threshold_uncertainty_score":0.9938498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07448635215529885,"score_gpt":0.4025966230639504,"score_spread":0.3281102709086516,"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."}}