{"id":"W7137223280","doi":"10.1145/3772673.3772679","title":"Perceptlets: Key to Machine Learning","year":2025,"lang":"","type":"article","venue":"","topic":"Cognitive Science and Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Tellabs (Canada)","funders":"","keywords":"Key (lock); Matching (statistics); Representation (politics); Automaton; External Data Representation; Applications of artificial intelligence; Knowledge representation and reasoning; Component (thermodynamics)","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":[0.003699682,0.001350287,0.001406855,0.001477801,0.001082326,0.005425518,0.003053013,0.003043011,0.008524052],"category_scores_gemma":[0.01822564,0.001066743,0.001523613,0.001711557,0.006564968,0.01061049,0.003442827,0.00906034,0.005451968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001330279,"about_ca_system_score_gemma":0.001601762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001076678,"about_ca_topic_score_gemma":0.0005172766,"domain_scores_codex":[0.9973929,0.000770686,0.0002375967,0.0006695645,0.0007761168,0.0001530968],"domain_scores_gemma":[0.9915044,0.005930918,0.0003223368,0.001333565,0.0006269634,0.0002818365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001043654,0.00002893574,0.0002574275,0.0003321512,0.00004068066,0.00008396791,0.0001417477,0.01308158,0.001153485,0.9053938,0.008525722,0.07085612],"study_design_scores_gemma":[0.00001426961,0.00002032844,0.00004818113,0.00006021407,0.000008170478,0.000046925,0.00001209158,0.03154457,0.0006959374,0.9528782,0.01465455,0.00001663524],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002224934,0.005095786,0.969107,0.004563758,0.0009020264,0.00007778843,0.0003141278,0.001401618,0.01631289],"genre_scores_gemma":[0.2416794,0.01755729,0.7123368,0.00302745,0.004474158,0.000699279,0.001177572,0.0009565817,0.01809159],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008524052,"threshold_uncertainty_score":0.02851582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0169149007216186,"score_gpt":0.2780483119956376,"score_spread":0.261133411274019,"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."}}