{"id":"W6923657811","doi":"10.14473/csda/xckfy2/i01j3l","title":"OM19_CHPS101.sps","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":"Syntax; Closing (real estate); Term (time); Class (philosophy)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","open_science","insufficient_payload"],"category_scores_codex":[0.009471255,0.001990799,0.001809559,0.002469489,0.005845382,0.004874231,0.03903619,0.0008015136,0.001846043],"category_scores_gemma":[0.004969478,0.00200697,0.0004637339,0.01072315,0.02421899,0.004380478,0.04442023,0.005297193,0.4619301],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001725554,"about_ca_system_score_gemma":0.01117272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001761467,"about_ca_topic_score_gemma":0.002094965,"domain_scores_codex":[0.9779007,0.0008694978,0.001697489,0.008007742,0.006877541,0.00464698],"domain_scores_gemma":[0.9864416,0.0008971827,0.001141123,0.009455536,0.0004180996,0.001646463],"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":[0.00008072964,0.0003752729,0.000008798063,0.0004936412,0.0002044897,0.0005244842,0.002906993,6.933351e-7,0.003019959,0.00332399,0.9842035,0.004857473],"study_design_scores_gemma":[0.0004475795,0.000157512,0.0002314754,0.00060517,0.001026043,0.00006509861,0.002043475,0.0009417516,0.00007737839,0.008566202,0.9836033,0.002234998],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007820313,0.000523348,0.0000551103,0.0005861619,0.006311439,0.001669861,0.9794936,0.0004845713,0.01079769],"genre_scores_gemma":[0.0002902531,0.0006236894,0.0009634473,0.000548423,0.006664197,0.00009192951,0.9900371,0.0003262701,0.0004546671],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4600841,"threshold_uncertainty_score":0.9992835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0702578320452721,"score_gpt":0.3980883522755816,"score_spread":0.3278305202303095,"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."}}