{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008162651,0.0003435618,0.0004004765,0.0002841174,0.0002100726,0.0006023427,0.0018216,0.0003471845,0.0001043608],"category_scores_gemma":[0.0003325364,0.0003716011,0.0002026229,0.0005122916,0.00006629332,0.000248425,0.003293232,0.001594303,0.0007171749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001515368,"about_ca_system_score_gemma":0.0002302613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006066062,"about_ca_topic_score_gemma":0.00003137394,"domain_scores_codex":[0.9973614,0.0001300606,0.000513445,0.001032486,0.0004031735,0.0005594124],"domain_scores_gemma":[0.998122,0.0003555756,0.0003418196,0.0008132592,0.0001807584,0.0001865323],"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":[0.00004070273,0.0005099048,0.003822273,0.0009244931,0.0006012856,0.0003353484,0.01635964,0.2476132,0.09260338,0.3191327,0.007897533,0.3101596],"study_design_scores_gemma":[0.001258658,0.0002345289,0.006351971,0.0006293841,0.00004419381,0.0001039996,0.001947149,0.8773172,0.01638649,0.02165197,0.0715013,0.002573106],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0005004444,0.00009392072,0.9860502,0.001148804,0.0009590488,0.0005277378,0.000002722668,0.002764194,0.007952881],"genre_scores_gemma":[0.8635294,0.0000813643,0.1215627,0.0005883515,0.0001635221,0.0003069795,0.00005897765,0.00008404828,0.0136246],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8644875,"threshold_uncertainty_score":0.9998736,"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."}}