{"id":"W4253549159","doi":"10.31219/osf.io/xubm2","title":"Individual Subitizing Range (ISR)","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Cognitive and developmental aspects of mathematical skills","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Range (aeronautics); Task (project management); Code (set theory); MATLAB; Programming language; 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":[0.000769818,0.001643228,0.0007898448,0.001279942,0.0004252389,0.002169202,0.001854365,0.001058448,0.1602753],"category_scores_gemma":[0.008751517,0.0008788971,0.0006607295,0.0009004098,0.0004149311,0.002735996,0.002059666,0.001603859,0.09177274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004522867,"about_ca_system_score_gemma":0.0006762285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001011911,"about_ca_topic_score_gemma":0.001238126,"domain_scores_codex":[0.9994516,0.00006993349,0.00009228907,0.000154948,0.0001786683,0.00005242749],"domain_scores_gemma":[0.9974819,0.001208793,0.0002385011,0.0004750362,0.0004808728,0.000114926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001189588,0.0002596148,0.008635922,0.002172995,0.0001282197,0.0006261971,0.0007243928,0.007218398,0.0314856,0.03444887,0.5050551,0.4080551],"study_design_scores_gemma":[0.00034262,0.0003213812,0.01456427,0.0005292289,0.0001063923,0.002378386,0.0002321013,0.06635728,0.1193031,0.05764147,0.737906,0.0003178082],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01312658,0.0005863513,0.5025575,0.0003748561,0.0005063971,0.0003359397,0.05668128,0.3852144,0.04061672],"genre_scores_gemma":[0.1184902,0.0006065674,0.6280333,0.0006687531,0.0002121857,0.002466121,0.05328504,0.153023,0.04321492],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1602753,"threshold_uncertainty_score":0.5361744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08420401321515063,"score_gpt":0.3335019808372913,"score_spread":0.2492979676221406,"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."}}