{"id":"W6905062198","doi":"10.14473/csda/ilmnvh/qfk6a0","title":"diar_deti_bez_diakritiky_w1_chps_v1.1_cz.tab","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":[0.001277909,0.002816572,0.001688281,0.005133782,0.001096902,0.003863898,0.003655096,0.002090116,0.2437475],"category_scores_gemma":[0.007875492,0.001176394,0.001563847,0.009704938,0.000639119,0.002182222,0.003444072,0.00224195,0.3053799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002168615,"about_ca_system_score_gemma":0.003827979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03168906,"about_ca_topic_score_gemma":0.04325673,"domain_scores_codex":[0.9986632,0.0001658184,0.0001578208,0.0004011928,0.0002889705,0.0003230334],"domain_scores_gemma":[0.9968174,0.000725257,0.0002553366,0.000946458,0.0008343733,0.0004211036],"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":[0.0000416397,0.00001181411,0.0003320375,0.0004361503,0.00001675118,0.000008820124,0.00001494651,0.0001132394,0.00009552352,0.0003490355,0.9974511,0.001129023],"study_design_scores_gemma":[0.0002547245,0.00001418711,0.003048195,0.0002264633,0.00002843233,0.00003934221,0.00008678764,0.0002894431,0.0005289984,0.0009377388,0.9945027,0.00004299403],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004395644,0.00002005962,0.00003356493,0.0000292996,0.00001396488,0.000008058619,0.9989364,0.0003986227,0.0005161059],"genre_scores_gemma":[0.0002065855,0.00003171812,0.0001632137,0.00002481006,0.000005144352,0.00006840329,0.9986469,0.0001887935,0.0006644109],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7562525,"threshold_uncertainty_score":0.8154167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05885934243201386,"score_gpt":0.3851221530100967,"score_spread":0.3262628105780829,"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."}}