{"id":"W4381952341","doi":"10.31234/osf.io/ps5aq","title":"Novel Concentric-Circle Technique Interrogates Implicit Category Learning","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Domain Adaptation and Few-Shot Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Leverage (statistics); Boundary (topology); Representation (politics); Computer science; Quadratic equation; Concentric; Artificial intelligence; Mathematics; Geometry; Mathematical analysis","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00198244,0.000305406,0.0003942278,0.0006667986,0.0006119553,0.0008598435,0.001793649,0.001041365,0.004277654],"category_scores_gemma":[0.01457184,0.0002608947,0.0005048306,0.0006154358,0.002693885,0.004024576,0.002264401,0.00174975,0.0005279278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007033133,"about_ca_system_score_gemma":0.0004304752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006279772,"about_ca_topic_score_gemma":0.0008307429,"domain_scores_codex":[0.9990931,0.0004159716,0.00002840103,0.000256818,0.0001632863,0.00004248936],"domain_scores_gemma":[0.991651,0.00492904,0.0005543507,0.00219457,0.0004413189,0.0002297518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000430189,0.0002432822,0.006701733,0.0003043263,0.00008659121,0.0002762045,0.003611238,0.0246478,0.03379574,0.7320936,0.003522573,0.1942867],"study_design_scores_gemma":[0.00003704181,0.0002188866,0.002718535,0.0000296426,0.00002808848,0.0004163011,0.0004349826,0.4217542,0.01621029,0.5508624,0.007245303,0.00004436966],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1187728,0.000119133,0.8708762,0.0006524032,0.00004421102,0.00007981203,0.0001436451,0.0005631935,0.008748664],"genre_scores_gemma":[0.7816396,0.00006536717,0.2160742,0.0001188165,0.00002368867,0.000107464,0.0001825394,0.0001211652,0.001667256],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004277654,"threshold_uncertainty_score":0.01431018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04461968713676859,"score_gpt":0.2917461303530237,"score_spread":0.2471264432162551,"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."}}