{"id":"W1733616290","doi":"","title":"AUTOMATIC ACTIVATION OF NUMERICAL MAGNITUDE? EVIDENCE FROM JOINT DERIVATION OF SNARC AND SIZE CONGRUITY EFFECTS","year":2006,"lang":"en","type":"article","venue":"Proceedings of Fechner Day","topic":"Cognitive and developmental aspects of mathematical skills","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Numeral system; Arabic numerals; Cognition; Set (abstract data type); Meaning (existential); Numerical cognition; Joint (building); Cognitive psychology; Magnitude (astronomy); Computer science; Arithmetic; Psychology; Mathematics; Neuroscience; Physics; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.005033078,0.0002361833,0.0003379269,0.001260061,0.000231978,0.0007775686,0.0006294927,0.0006207813,0.004884511],"category_scores_gemma":[0.04830109,0.0004354348,0.0002714777,0.0005253337,0.001668545,0.001485335,0.002315887,0.001233257,0.0006021765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002644836,"about_ca_system_score_gemma":0.0004190493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001196976,"about_ca_topic_score_gemma":0.001126669,"domain_scores_codex":[0.9966598,0.000671398,0.0002800631,0.0007571824,0.001483338,0.0001482412],"domain_scores_gemma":[0.9453612,0.02971793,0.006147831,0.012966,0.004877804,0.0009291947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002248252,0.0005372539,0.2161307,0.0007281387,0.0002084909,0.0006659568,0.008380918,0.0008112013,0.5637979,0.05316381,0.001698966,0.1516284],"study_design_scores_gemma":[0.00009994831,0.0002549474,0.930519,0.00003604039,0.0000759489,0.0009961892,0.0005283563,0.001991407,0.04252323,0.01886773,0.004042527,0.00006476373],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9521019,0.0003204073,0.01582416,0.0003755364,0.00004478287,0.0000712023,0.0003149545,0.0002930267,0.03065386],"genre_scores_gemma":[0.9925087,0.0001265483,0.005840296,0.0001179019,0.00002130657,0.00006547868,0.0001941537,0.0001153031,0.001010335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005033078,"threshold_uncertainty_score":0.02661777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02403676334974876,"score_gpt":0.2710909747081932,"score_spread":0.2470542113584445,"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."}}