{"id":"W6904785808","doi":"10.14473/csda/qjwlgn/lwt8n8","title":"OM12_CHPS301.R","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); Term (time); 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":"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":[0.009089229,0.001846977,0.001674514,0.002355358,0.005493965,0.004735678,0.03836011,0.0007434367,0.001790955],"category_scores_gemma":[0.004485733,0.001855789,0.0004218383,0.01017222,0.02372982,0.004144403,0.04418633,0.004894623,0.4790422],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001602557,"about_ca_system_score_gemma":0.01076804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001605202,"about_ca_topic_score_gemma":0.00191544,"domain_scores_codex":[0.9789569,0.0007669074,0.001574361,0.007633159,0.006708252,0.004360367],"domain_scores_gemma":[0.9871308,0.0007685851,0.001037649,0.009122985,0.0004104509,0.00152948],"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":[0.00007083973,0.0003428797,0.000007371199,0.0004516604,0.0001878254,0.0005641119,0.002678572,5.140597e-7,0.002671862,0.003224064,0.9850258,0.004774527],"study_design_scores_gemma":[0.0003915353,0.000141133,0.00020646,0.0005488252,0.0009852805,0.0000730323,0.00196849,0.0008966165,0.00006481699,0.008159667,0.984495,0.002069081],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006493909,0.0005027116,0.00004668064,0.0005673742,0.006212777,0.001529717,0.9793084,0.0004618424,0.0113055],"genre_scores_gemma":[0.0002387441,0.0005712051,0.0009055321,0.0005125928,0.006410141,0.00008062647,0.9905625,0.0002995632,0.0004191227],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4772513,"threshold_uncertainty_score":0.9994275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0740938736596185,"score_gpt":0.4025306710796732,"score_spread":0.3284367974200547,"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."}}