{"id":"W2543889350","doi":"10.1037/rev0000038","title":"On the origins of logarithmic number-to-position mapping.","year":2016,"lang":"en","type":"article","venue":"Psychological Review","topic":"Cognitive and developmental aspects of mathematical skills","field":"Mathematics","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Collège de France; Azrieli Foundation; Institut National de la Santé et de la Recherche Médicale","keywords":"Logarithm; Position (finance); Observer (physics); Number line; Task (project management); Mathematics; Computer science; Artificial intelligence; Algorithm; Pattern recognition (psychology); Arithmetic; Statistics; Geometry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00213703,0.0005926939,0.0004341007,0.001179248,0.0003903792,0.002010935,0.0009209574,0.0009073162,0.01138401],"category_scores_gemma":[0.02516609,0.0004791362,0.000344918,0.00080859,0.003750035,0.007670874,0.001748269,0.00211894,0.001619951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009050571,"about_ca_system_score_gemma":0.000876674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001740664,"about_ca_topic_score_gemma":0.001127445,"domain_scores_codex":[0.9991977,0.0001842755,0.00006576136,0.000290259,0.0002220633,0.00003997748],"domain_scores_gemma":[0.9783505,0.01649682,0.002227059,0.001695159,0.0008862786,0.0003442068],"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":[0.002577964,0.0002686101,0.03072467,0.001528399,0.00007758105,0.003110165,0.005139093,0.007607067,0.06435431,0.4462079,0.005446988,0.4329573],"study_design_scores_gemma":[0.0001466895,0.0008537899,0.2525285,0.0007584197,0.0001212703,0.004556396,0.001455124,0.04451052,0.04243866,0.61512,0.0372708,0.0002399086],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5672148,0.01979497,0.2350897,0.009087089,0.0007077871,0.000431143,0.002022552,0.001535249,0.1641167],"genre_scores_gemma":[0.9244221,0.006497797,0.05709741,0.00101489,0.0001607794,0.0003221621,0.0009185817,0.0003370702,0.009229253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01138401,"threshold_uncertainty_score":0.03808331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09489783956566748,"score_gpt":0.3914152046565976,"score_spread":0.2965173650909301,"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."}}