{"id":"W2782668058","doi":"10.5539/jel.v7n2p210","title":"Harnessing Indigenous Basketry Resources for Prenumber and Early Number Work","year":2018,"lang":"en","type":"article","venue":"Journal of Education and Learning","topic":"Cognitive and developmental aspects of mathematical skills","field":"Mathematics","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Indigenous; Work (physics); Mathematics education; Literacy; Pedagogy; Psychology; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00101079,0.0001752533,0.0001635469,0.0005685935,0.001432218,0.0008055281,0.0003404873,0.000203292,0.003637193],"category_scores_gemma":[0.001772642,0.0001524907,0.00008137952,0.0004481293,0.001761627,0.001153192,0.001937663,0.0003712598,0.0001701326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006655682,"about_ca_system_score_gemma":0.001141789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003447929,"about_ca_topic_score_gemma":0.01773118,"domain_scores_codex":[0.9993784,0.0003632041,0.00002638741,0.00004338417,0.00008236906,0.0001062932],"domain_scores_gemma":[0.9992219,0.0003741003,0.0001590402,0.00004922163,0.00005576164,0.0001400276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00007431756,0.0002330986,0.1171632,0.0006934373,0.000006961254,0.003478444,0.7572268,0.000115399,0.007612383,0.01113337,0.001189368,0.1010732],"study_design_scores_gemma":[0.000009305395,0.0002084968,0.1347851,0.0006537751,0.00001086586,0.001084341,0.8083841,0.0001326338,0.001134592,0.002353016,0.05122602,0.000017815],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863867,0.0001853138,0.000846633,0.0004018935,0.000006596137,0.00003724886,0.00001984082,0.000005203622,0.01211053],"genre_scores_gemma":[0.995695,0.0002632499,0.00174036,0.00005549847,0.00000252362,0.00002314315,0.000009782952,0.000002836525,0.002207589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003637193,"threshold_uncertainty_score":0.01216763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02230124912314903,"score_gpt":0.3274629670041686,"score_spread":0.3051617178810196,"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."}}