{"id":"W6904700535","doi":"10.14473/csda/pug41w/p4ykcv","title":"K02_CHPS501.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":[0.001461613,0.004134088,0.001826985,0.005119841,0.001366187,0.005104616,0.004094781,0.003328829,0.2164529],"category_scores_gemma":[0.007882048,0.001450232,0.002003327,0.008926802,0.0008826038,0.002952752,0.003871954,0.002625454,0.3434287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002502847,"about_ca_system_score_gemma":0.00368542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04404081,"about_ca_topic_score_gemma":0.05475306,"domain_scores_codex":[0.9982234,0.0002393031,0.0001724272,0.000509272,0.0003546467,0.0005010135],"domain_scores_gemma":[0.9959022,0.0008167338,0.0002830202,0.00131705,0.00111527,0.0005657374],"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":[0.00003287014,0.000008514892,0.0001522819,0.0002084021,0.00001007839,0.000006533875,0.000009599175,0.00007341817,0.00004621634,0.0001662715,0.9986721,0.0006136589],"study_design_scores_gemma":[0.0003943619,0.00002246459,0.002884787,0.000217582,0.00002634479,0.0000445036,0.0001220543,0.0004448655,0.000468411,0.001000158,0.9943276,0.00004688756],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004643428,0.00002086423,0.00002630999,0.00005114117,0.00002769602,0.000006381875,0.9988838,0.0005135828,0.0004238722],"genre_scores_gemma":[0.0001783849,0.0000282178,0.0001073401,0.00003663959,0.000008336181,0.00003911584,0.9987181,0.0001632519,0.0007205171],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.783547,"threshold_uncertainty_score":0.7241071,"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."}}