{"id":"W4400739054","doi":"10.1016/j.lindif.2024.102513","title":"Mathematically high and low performances tell us different stories: Uncovering motivation-related factors via the ecological model","year":2024,"lang":"en","type":"article","venue":"Learning and Individual Differences","topic":"Education, Achievement, and Giftedness","field":"Psychology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Mindset; Enthusiasm; Psychology; Structural equation modeling; Social ecological model; Affect (linguistics); Psychological intervention; Reading (process); Mathematics education; Competition (biology); Developmental psychology; Social psychology; Ecology; Mathematics; Computer science","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":[0.0002720053,0.0002289052,0.0002343018,0.00008605277,0.0004814073,0.0002895778,0.0001598191,0.0001443712,0.0004002421],"category_scores_gemma":[0.00009900147,0.0001254723,0.00003851725,0.0001399426,0.0002509689,0.0001463382,0.00007382734,0.000487295,0.00001254468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001798448,"about_ca_system_score_gemma":0.00002401308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000751807,"about_ca_topic_score_gemma":0.00001605871,"domain_scores_codex":[0.998693,0.0001563972,0.0002842097,0.000358505,0.0002287188,0.0002791096],"domain_scores_gemma":[0.9987646,0.000936394,0.00008678759,0.0001076585,0.000025963,0.00007860443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008115911,0.0001310428,0.9508872,0.0001085914,0.0001804447,0.000001123146,0.03832882,0.0001244489,0.00003712765,0.006402652,0.00008348119,0.003706955],"study_design_scores_gemma":[0.0001703263,0.0002452842,0.9811678,0.0001014984,0.00007419596,0.000003598524,0.005824749,0.006442697,0.00001320783,0.005582448,0.0001777111,0.0001964604],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967896,0.0006604077,0.0004425322,0.0002249518,0.0006529238,0.000160606,0.00001185809,0.000125055,0.0009320255],"genre_scores_gemma":[0.9972048,0.0002133769,0.00003875804,0.00004503985,0.00008340712,0.00003746678,0.00003601262,0.00001515344,0.002326006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03250407,"threshold_uncertainty_score":0.5116614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03842543000690022,"score_gpt":0.2968205658734652,"score_spread":0.2583951358665649,"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."}}