{"id":"W6969081918","doi":"10.5683/sp3/fdsuym","title":"Cheater Cheater","year":2025,"lang":"en","type":"dataset","venue":"Borealis","topic":"Reproductive biology and impacts on aquatic species","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Cheating; Agency (philosophy); Procrastination; Trustworthiness; Subject (documents)","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":[0.0007704881,0.002107635,0.001083718,0.002343005,0.0008460447,0.001524553,0.001978212,0.002052943,0.06071312],"category_scores_gemma":[0.004125361,0.0004276938,0.001185837,0.002514907,0.0003242179,0.0009616989,0.001645942,0.001458015,0.08596287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009421096,"about_ca_system_score_gemma":0.001127005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03088557,"about_ca_topic_score_gemma":0.0979691,"domain_scores_codex":[0.999257,0.0001041473,0.00008147642,0.0002479774,0.0001787533,0.0001305974],"domain_scores_gemma":[0.9981352,0.0005153874,0.0001877789,0.0004909536,0.0004672522,0.0002034565],"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":[0.0001257303,0.00003289817,0.002816763,0.0004612057,0.00002962681,0.00003143536,0.0000186699,0.0002498703,0.0001448203,0.0001810119,0.9915554,0.00435256],"study_design_scores_gemma":[0.0003122332,0.00005339194,0.02096173,0.0004443553,0.00006533929,0.0001869981,0.0001532299,0.001832335,0.001073288,0.001598457,0.9732587,0.00005999068],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004969871,0.0001018657,0.0001037659,0.00007612279,0.00005366522,0.00001039637,0.9975513,0.0005742952,0.001031519],"genre_scores_gemma":[0.001074334,0.0000451728,0.000390725,0.00006257099,0.000008774728,0.00003797298,0.9970871,0.00005584798,0.00123751],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06071312,"threshold_uncertainty_score":0.2031056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01063449802053902,"score_gpt":0.2727625951204977,"score_spread":0.2621280970999587,"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."}}