{"id":"W3163808026","doi":"10.31756/jrsmte.424","title":"The Mathematical Proficiency Promoted by Mathematical Modelling","year":2021,"lang":"en","type":"article","venue":"Journal of Research in Science Mathematics and Technology Education","topic":"Mathematics Education and Teaching Techniques","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Mathematical model; Mathematics education; Computer science; Language of mathematics; Mathematical problem; Mathematical structure; Relevance (law); Intervention (counseling); Mathematical theory; Management science; Mathematics; Psychology; 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":[0.002042458,0.0003622699,0.0003913161,0.0006419998,0.0005082464,0.002210044,0.0004609539,0.0005239772,0.003526167],"category_scores_gemma":[0.01236526,0.0002403221,0.0004341866,0.0002814753,0.001604541,0.0009853006,0.003040929,0.001257361,0.0005279545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004667768,"about_ca_system_score_gemma":0.0008969001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003554052,"about_ca_topic_score_gemma":0.000388427,"domain_scores_codex":[0.9978275,0.0008954234,0.00009221162,0.0002106092,0.0006776501,0.0002966194],"domain_scores_gemma":[0.9931419,0.003129042,0.001679979,0.0006006577,0.0006451121,0.0008032562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001098116,0.006100499,0.2922905,0.003047384,0.0002100408,0.002426111,0.1423107,0.003076975,0.1298939,0.02302524,0.002434264,0.3940864],"study_design_scores_gemma":[0.0001246576,0.004431468,0.8546305,0.0007959579,0.0002017043,0.00249825,0.04449375,0.003492056,0.03264671,0.01640056,0.04011844,0.0001658945],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892629,0.0001229681,0.001874623,0.0001906563,0.000009170861,0.00003025575,0.00001329198,0.00002819342,0.008467877],"genre_scores_gemma":[0.9960809,0.0001926849,0.002338781,0.00003138261,0.00000570767,0.00003385518,0.00001971631,0.000008682582,0.00128833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003526167,"threshold_uncertainty_score":0.01179624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09088347908725238,"score_gpt":0.4795847605244445,"score_spread":0.3887012814371921,"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."}}