{"id":"W2586596427","doi":"10.5964/jnc.v2i3.99","title":"Numerical cognition speaks up: Reflections and acknowledgements on the Journal of Numerical Cognition","year":2017,"lang":"en","type":"article","venue":"Journal of Numerical Cognition","topic":"Cognitive and developmental aspects of mathematical skills","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Numerical cognition; Citation; Cognition; Library science; License; XML; Computer science; Cognitive science; Psychology; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001513101,0.0003762108,0.0007840723,0.0002676638,0.0008260157,0.0002755109,0.000437201,0.0001786043,0.001215922],"category_scores_gemma":[0.01135518,0.0002536308,0.0003541139,0.0002607346,0.0003100065,0.0007769167,0.0001157862,0.0009886449,0.0002005398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000130937,"about_ca_system_score_gemma":0.0001245011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002296421,"about_ca_topic_score_gemma":0.000001855026,"domain_scores_codex":[0.9963318,0.0004212487,0.001440003,0.000241431,0.00116232,0.0004031927],"domain_scores_gemma":[0.9923284,0.002259859,0.002329542,0.0002641403,0.002456907,0.0003611734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.02154144,0.04512741,0.004580634,0.00304423,0.01330291,0.001874572,0.01655912,0.00002973076,0.05884048,0.02437785,0.3151051,0.4956166],"study_design_scores_gemma":[0.01171279,0.007957978,0.02548858,0.005087761,0.004057004,0.003980674,0.003970763,0.0006284871,0.03182891,0.8980939,0.005610911,0.001582226],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4007892,0.0004622506,0.4696621,0.01141703,0.005399436,0.00222286,0.0001287798,0.0001414456,0.1097769],"genre_scores_gemma":[0.991877,0.0001773056,0.006174445,0.0006050681,0.0009055033,0.00001025541,0.000008857847,0.00004821263,0.0001933103],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8737161,"threshold_uncertainty_score":0.9999916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08803778735417876,"score_gpt":0.372246769471086,"score_spread":0.2842089821169072,"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."}}