{"id":"W2891599129","doi":"10.5964/jnc.v4i2.74","title":"A new method for calculating individual subitizing ranges","year":2018,"lang":"en","type":"article","venue":"Journal of Numerical Cognition","topic":"Cognitive and developmental aspects of mathematical skills","field":"Mathematics","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Range (aeronautics); Enumeration; Theoretical computer science; Artificial intelligence; Mathematics; Engineering; Discrete mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008548654,0.0001420614,0.0003733184,0.0001144961,0.0001232485,0.00006026382,0.0001208854,0.00007199181,0.0003360248],"category_scores_gemma":[0.003197847,0.0001109316,0.0002021954,0.0001915141,0.0000351009,0.0002062584,0.00004573339,0.0001644197,0.0000258509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004059756,"about_ca_system_score_gemma":0.00007701935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002606836,"about_ca_topic_score_gemma":0.000001600241,"domain_scores_codex":[0.9985342,0.00007837886,0.0006020293,0.000129372,0.0004242137,0.0002317787],"domain_scores_gemma":[0.9966911,0.002045129,0.0004474986,0.00005820692,0.0005783088,0.0001797255],"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":[0.0008549272,0.0008520288,0.0001732948,0.000387466,0.0008651409,0.00006735158,0.004126407,7.016257e-7,0.01487282,0.0242977,0.03361625,0.9198859],"study_design_scores_gemma":[0.002364334,0.00108885,0.0007715574,0.0005257804,0.0004198755,0.0003887228,0.0005784283,0.0004395543,0.03156221,0.9602436,0.001329985,0.0002870489],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01778375,0.00004100802,0.9782598,0.0005772466,0.0001564387,0.000218457,0.000009139243,0.00002618981,0.002927974],"genre_scores_gemma":[0.3063377,0.000002315192,0.6923626,0.0003529,0.0008439056,0.00000434228,0.000003413429,0.00002018205,0.00007269117],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9359459,"threshold_uncertainty_score":0.4523661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08066595366666034,"score_gpt":0.3951414772699245,"score_spread":0.3144755236032641,"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."}}