{"id":"W6923697030","doi":"10.14473/csda/hgzkpi/izs6ms","title":"D10_CHPS201.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":"Set (abstract data type); Identification (biology); Process (computing); Context (archaeology)","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":[0.008975032,0.001889579,0.001714513,0.002303653,0.005530569,0.004717844,0.03713553,0.0007559425,0.005541282],"category_scores_gemma":[0.00394883,0.001904001,0.0004433517,0.009192203,0.02339209,0.004569612,0.04161664,0.004990537,0.7383016],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00169331,"about_ca_system_score_gemma":0.01081666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001824475,"about_ca_topic_score_gemma":0.002366158,"domain_scores_codex":[0.9789952,0.0008149349,0.001612852,0.007496704,0.006607096,0.00447321],"domain_scores_gemma":[0.9872383,0.0008661095,0.001110384,0.008786029,0.0003369538,0.001662167],"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":[0.00008143131,0.0003671072,0.000008935963,0.0004510726,0.0001988907,0.0004788504,0.002202764,5.248876e-7,0.003192646,0.001837102,0.9869357,0.004244944],"study_design_scores_gemma":[0.0004239864,0.0001693264,0.0001983352,0.0006111882,0.0009986922,0.00006735701,0.001866318,0.0008332092,0.00008084341,0.007154645,0.9854783,0.002117756],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005801157,0.0003912664,0.00005572642,0.0004530082,0.006480596,0.00162145,0.9723591,0.0003699912,0.01821084],"genre_scores_gemma":[0.0001353576,0.0006290046,0.001086498,0.0005122529,0.006405162,0.00009046073,0.98976,0.0002690363,0.001112235],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7327603,"threshold_uncertainty_score":0.9993848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06305502965534235,"score_gpt":0.3909010350947417,"score_spread":0.3278460054393993,"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."}}