{"id":"W7017822690","doi":"","title":"CAMEO: Explaining Consensus and Expertise Across MOdels","year":2024,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Blackberry (Canada)","funders":"","keywords":"Variety (cybernetics); Feature (linguistics); Test (biology); Space (punctuation); Key (lock); Multiple Models","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":[0.009975339,0.001536107,0.001138817,0.004106393,0.001694176,0.004151747,0.003033465,0.002381291,0.0116358],"category_scores_gemma":[0.07297675,0.0008111646,0.00295135,0.002249631,0.002336976,0.006725177,0.005979565,0.003540629,0.001240417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002679929,"about_ca_system_score_gemma":0.002338498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009398283,"about_ca_topic_score_gemma":0.009356385,"domain_scores_codex":[0.9950841,0.002070663,0.0002730312,0.001245338,0.001044578,0.0002821455],"domain_scores_gemma":[0.9620281,0.03040791,0.002036229,0.002984271,0.00183243,0.0007110736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006351735,0.0003115915,0.03049771,0.0009230506,0.0007050366,0.0008415949,0.004243547,0.3430856,0.002583029,0.387767,0.03287601,0.1955307],"study_design_scores_gemma":[0.00007483763,0.00004540041,0.001949031,0.0001177301,0.0000593311,0.00008957797,0.0003761433,0.6626746,0.0012294,0.3255948,0.007742498,0.00004668637],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03816843,0.0003973242,0.9421901,0.002556985,0.0001328454,0.0002130897,0.002705463,0.003685111,0.009950546],"genre_scores_gemma":[0.5090559,0.0003328434,0.4784554,0.0007347421,0.0001520051,0.0006712059,0.005631736,0.00153111,0.003435121],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0116358,"threshold_uncertainty_score":0.0527553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02551582153685272,"score_gpt":0.2494166335978579,"score_spread":0.2239008120610052,"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."}}