{"id":"W6942542039","doi":"10.14473/csda/xckfy2/sxjhkk","title":"OM11_CHPS101.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":[0.001541856,0.002977527,0.001965556,0.006522879,0.001238534,0.00528735,0.003393397,0.002716633,0.2377945],"category_scores_gemma":[0.008549963,0.001340347,0.001774086,0.01143695,0.0007878326,0.002590149,0.004002762,0.002270718,0.3521866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002354936,"about_ca_system_score_gemma":0.003751013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0320266,"about_ca_topic_score_gemma":0.03719633,"domain_scores_codex":[0.9980819,0.0002530007,0.0002249205,0.0004895905,0.0004355398,0.0005150653],"domain_scores_gemma":[0.9965562,0.0007516229,0.0002566858,0.001102127,0.0009114112,0.000421936],"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":[0.0000425761,0.00001082433,0.0001755398,0.0002856099,0.00001152444,0.00000888915,0.00001287587,0.00008006426,0.00006318178,0.0002413967,0.9978595,0.001207915],"study_design_scores_gemma":[0.0002325711,0.00001529345,0.002465033,0.0002004064,0.00002047452,0.00002979502,0.0000887264,0.0002255586,0.0004398557,0.0008558933,0.9953932,0.00003325803],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004905745,0.00002382884,0.00003667288,0.00003729461,0.00002151089,0.000007823378,0.9987088,0.0005152959,0.0005997432],"genre_scores_gemma":[0.0001845789,0.00003266405,0.0001366091,0.00002380941,0.000008205836,0.0000483929,0.9985066,0.000209613,0.0008494823],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7622055,"threshold_uncertainty_score":0.7955018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06164679587187799,"score_gpt":0.388732956421573,"score_spread":0.327086160549695,"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."}}