{"id":"W6923835121","doi":"10.14473/csda/6xarqu/mabnhr","title":"TI_CHPS102-03, 202-03, 302-03, 402-04.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":"Work (physics); Process (computing); Product (mathematics); 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":[0.001329495,0.003433519,0.001593625,0.004034468,0.001117069,0.004196593,0.004088827,0.002628832,0.2540123],"category_scores_gemma":[0.007367328,0.001250502,0.001600526,0.007117579,0.0007640513,0.002475805,0.003221135,0.002735585,0.3771415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002547433,"about_ca_system_score_gemma":0.003424785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04050341,"about_ca_topic_score_gemma":0.0507086,"domain_scores_codex":[0.9987274,0.000147753,0.0001279945,0.0003296722,0.0002917961,0.000375361],"domain_scores_gemma":[0.996991,0.0006182855,0.0001908301,0.0009296252,0.0007511367,0.000519074],"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":[0.00002631578,0.000006891961,0.0001010983,0.0001632461,0.000007266155,0.000005107301,0.000008036176,0.00006882441,0.0000524027,0.0001586497,0.998799,0.0006032372],"study_design_scores_gemma":[0.0003187896,0.00002055917,0.002409146,0.0001942554,0.0000189849,0.00003555034,0.00009291313,0.0004388703,0.0005089511,0.001355813,0.994566,0.00004004212],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003878248,0.0000182811,0.00003349348,0.00004924833,0.00003303023,0.000007117245,0.9986804,0.0005833075,0.0005563624],"genre_scores_gemma":[0.0001602178,0.00002464169,0.000124799,0.00002881435,0.00000759387,0.00003701361,0.9986475,0.0001528647,0.0008166443],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7459877,"threshold_uncertainty_score":0.8497559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05469715326998426,"score_gpt":0.3702882051299525,"score_spread":0.3155910518599683,"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."}}