{"id":"W7094952180","doi":"10.5281/zenodo.17437830","title":"Measured tandem classification datasets for CPMA–SMPS, CPMA–SASS, and AAC–SMPS systems","year":2025,"lang":"","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Irish and British Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Replicate; Tandem; Classifier (UML); Raw data; Pattern recognition (psychology); High resolution","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":[],"consensus_categories":[],"category_scores_codex":[0.001532399,0.002790616,0.001437265,0.002619942,0.001127272,0.001762736,0.002979474,0.002751401,0.01635561],"category_scores_gemma":[0.004357962,0.0004962377,0.00168077,0.003747463,0.0005472959,0.001159981,0.001856063,0.002010422,0.04514294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001720357,"about_ca_system_score_gemma":0.001743094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0182874,"about_ca_topic_score_gemma":0.02869593,"domain_scores_codex":[0.998187,0.0002278397,0.0001930617,0.0004947798,0.0006579707,0.0002394941],"domain_scores_gemma":[0.9976325,0.0004923115,0.0002455729,0.0007451132,0.0007127259,0.0001717507],"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":[0.0002137178,0.0001738843,0.002860994,0.0007691702,0.00009586258,0.00008579654,0.00004226347,0.001983884,0.001208934,0.0006431139,0.9806257,0.01129652],"study_design_scores_gemma":[0.0004450778,0.0001731148,0.02968776,0.0003098654,0.00009619058,0.0002704898,0.0002199784,0.009177398,0.005087723,0.002829738,0.9515685,0.0001342327],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001800179,0.0001027189,0.0004383617,0.0001168712,0.00006797261,0.00003656444,0.9954208,0.001088962,0.000927581],"genre_scores_gemma":[0.001314863,0.00003094602,0.0006592661,0.00003103468,0.00001152034,0.00007614931,0.9973109,0.00005582718,0.0005096106],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0182874,"threshold_uncertainty_score":0.05471492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06180059733015263,"score_gpt":0.2998097374998884,"score_spread":0.2380091401697357,"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."}}