{"id":"W4200120603","doi":"10.1017/s0140525x21001199","title":"Representation of pure magnitudes in ANS","year":2021,"lang":"en","type":"article","venue":"Behavioral and Brain Sciences","topic":"Computability, Logic, AI Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Representation (politics); Set (abstract data type); Magnitude (astronomy); Algebra over a field","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":[0.001125688,0.0004605302,0.0003981385,0.001752323,0.0007717325,0.004008528,0.0008544942,0.000792356,0.01279881],"category_scores_gemma":[0.007505919,0.0002443173,0.0005888018,0.001174718,0.00353329,0.007098197,0.001548743,0.001117712,0.002001817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008565492,"about_ca_system_score_gemma":0.0005662428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001351076,"about_ca_topic_score_gemma":0.0008363776,"domain_scores_codex":[0.9988606,0.0004073207,0.00008716911,0.0002760663,0.0002894364,0.00007943925],"domain_scores_gemma":[0.9979646,0.0007143032,0.0002430162,0.0004539763,0.0005256654,0.00009831945],"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":[0.00003076625,0.000005292402,0.0004540152,0.00003922478,0.000006637374,0.00003629419,0.0002671508,0.001448156,0.000787415,0.9807726,0.0007363844,0.01541618],"study_design_scores_gemma":[0.000007679025,0.00002491402,0.0006095297,0.00002587964,0.00001124492,0.0001118356,0.0001071777,0.01133805,0.0005859968,0.9731452,0.0140189,0.00001352395],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07493696,0.00118472,0.7464353,0.002259685,0.0006696527,0.00009448287,0.0007406556,0.0009830695,0.1726954],"genre_scores_gemma":[0.8103167,0.0007006017,0.1715963,0.000492682,0.0003202793,0.0001753763,0.0006467912,0.000178684,0.01557242],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01279881,"threshold_uncertainty_score":0.04281628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07965320060252366,"score_gpt":0.355495658613478,"score_spread":0.2758424580109544,"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."}}