{"id":"W2010323135","doi":"10.1016/j.beproc.2009.12.010","title":"The Terrace simultaneous chaining paradigm","year":2010,"lang":"en","type":"article","venue":"Behavioural Processes","topic":"Domain Adaptation and Few-Shot Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chaining; Terrace (agriculture); Context (archaeology); Human memory; Underpinning; Psychology; Cognitive psychology; Cognitive science; Computer science; Artificial intelligence; Geography; Developmental psychology; Cognition; Neuroscience; Geology; Archaeology","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":[],"consensus_categories":[],"category_scores_codex":[0.0002543899,0.0001275488,0.00008955191,0.00003518649,0.0006569483,0.0005625695,0.0009156006,0.00005422966,0.0000194015],"category_scores_gemma":[0.0005930251,0.00008721383,0.00003264837,0.000320748,0.00009183906,0.0004058716,0.0001164298,0.0003559577,0.00007661043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009069625,"about_ca_system_score_gemma":0.0001184727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002387072,"about_ca_topic_score_gemma":0.0001401733,"domain_scores_codex":[0.998943,0.00002846574,0.0001820446,0.0002630421,0.0002655502,0.0003179322],"domain_scores_gemma":[0.9988515,0.000478092,0.0001107423,0.0003505602,0.0001082989,0.0001008013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004183352,0.000222492,0.02351419,0.00007157641,0.00003055038,0.0002402202,0.0134406,0.00124624,0.006656746,0.116288,0.001158266,0.8370892],"study_design_scores_gemma":[0.00244582,0.0006418991,0.04862744,0.0001543269,0.00007302763,0.0011569,0.002967599,0.2920448,0.01379155,0.01805198,0.6171743,0.002870397],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7616369,0.001003538,0.2111349,0.01261295,0.002801821,0.0005910179,0.000003361466,0.001614371,0.00860118],"genre_scores_gemma":[0.992669,0.00001702765,0.005477021,0.000239997,0.00007017914,0.00002014245,0.000001758817,0.0000111583,0.001493722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8342189,"threshold_uncertainty_score":0.5424871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02485537346484637,"score_gpt":0.2655252212630526,"score_spread":0.2406698477982062,"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."}}