{"id":"W6886115022","doi":"10.14473/csda/xckfy2/hywngo","title":"data_bez_diakritiky_w1_chps_cz_v4.0.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":"Identification (biology); Process (computing); Work (physics); 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":[0.001499467,0.002512948,0.00162304,0.006717629,0.001026965,0.00382012,0.003705598,0.002059125,0.246182],"category_scores_gemma":[0.01230066,0.001188456,0.001415923,0.01300525,0.0007192074,0.002078847,0.003006065,0.00228752,0.2369206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002587036,"about_ca_system_score_gemma":0.004805028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04336927,"about_ca_topic_score_gemma":0.04997809,"domain_scores_codex":[0.9983772,0.0002067697,0.0002277577,0.0004367495,0.0003876725,0.0003637733],"domain_scores_gemma":[0.9955192,0.001231652,0.0003815557,0.001090793,0.001214417,0.0005623794],"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":[0.00004469356,0.00001113077,0.0003455983,0.0005233305,0.00001738314,0.000009304173,0.00001369255,0.0001626703,0.00007258058,0.0003770397,0.997361,0.001061524],"study_design_scores_gemma":[0.0003044026,0.00001475731,0.003523498,0.0003021567,0.0000377025,0.00004199384,0.0001034148,0.0003734521,0.0004581152,0.001215818,0.9935768,0.00004799177],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003552728,0.00001805779,0.00003010351,0.00002597348,0.00001013608,0.0000085201,0.9992383,0.0002860699,0.0003472804],"genre_scores_gemma":[0.0002239413,0.00003426119,0.0001618119,0.00002443258,0.000004723507,0.00006993223,0.9988159,0.0001628555,0.000502225],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.753818,"threshold_uncertainty_score":0.8235608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07879792203053168,"score_gpt":0.4014001827608885,"score_spread":0.3226022607303568,"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."}}