{"id":"W2154520591","doi":"10.1037/a0030535","title":"Defining a boundary in goal localization: Infinite number of points or extended surfaces.","year":2012,"lang":"en","type":"article","venue":"Journal of Experimental Psychology Learning Memory and Cognition","topic":"Child and Animal Learning Development","field":"Psychology","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Boundary (topology); Landmark; Mathematics; Boundary value problem; Geometry; Mathematical analysis; Computer science; Artificial intelligence","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008925464,0.0001597127,0.0003352966,0.0001898843,0.0001119616,0.00001684144,0.00008030305,0.00015297,0.002467518],"category_scores_gemma":[0.0001044696,0.000140431,0.00007010333,0.0002023159,0.0001752009,0.0002574857,0.00003473867,0.0005340676,0.00007080588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002990052,"about_ca_system_score_gemma":0.00003734892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005363167,"about_ca_topic_score_gemma":0.000001094198,"domain_scores_codex":[0.9983127,0.0004128078,0.0006324448,0.0001836752,0.0001791736,0.0002792357],"domain_scores_gemma":[0.9990835,0.0001457373,0.000510336,0.0000766854,0.00007340295,0.000110401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01285063,0.004943363,0.8317329,0.00009112043,0.0005699364,0.0003977362,0.07023875,0.00006019376,0.03069719,0.003852902,0.002164944,0.04240036],"study_design_scores_gemma":[0.009513457,0.001975015,0.9431537,0.000565803,0.00008492532,0.004566337,0.0241497,0.00002735971,0.006123722,0.0004664591,0.008878239,0.0004952755],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9757101,0.00327843,0.0001741598,0.0001022279,0.0007417481,0.00008322672,0.000001651386,0.00001430834,0.01989413],"genre_scores_gemma":[0.9980893,0.00007990765,0.0008628179,0.0005264054,0.0001401806,0.000005284482,0.00001287238,0.0000200669,0.0002631567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1114208,"threshold_uncertainty_score":0.9984444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02424194231328537,"score_gpt":0.356228354518386,"score_spread":0.3319864122051007,"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."}}