{"id":"W4404033576","doi":"10.1016/j.cedpsych.2024.102323","title":"The environment is somewhat alike for different adaptive motivations: Machine learning reveals optimal motivational contexts involve collective support of parents, teachers, and peers","year":2024,"lang":"en","type":"article","venue":"Contemporary Educational Psychology","topic":"Motivation and Self-Concept in Sports","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; Hong Kong Institute of Education; Social Sciences and Humanities Research Council; Social Sciences and Humanities Research Council of Canada; Criminology Research Advisory Council, Australian Institute of Criminology","keywords":"Psychology; Social psychology; Developmental psychology; Cognitive psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005381095,0.0001498188,0.0002051594,0.0003492078,0.000510689,0.001848914,0.0002233154,0.0005103061,0.001672945],"category_scores_gemma":[0.002123788,0.0001507533,0.0002140318,0.0002238185,0.0009577359,0.0008551588,0.0007549432,0.0007708857,0.0001586507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001906299,"about_ca_system_score_gemma":0.00031816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005332937,"about_ca_topic_score_gemma":0.001119832,"domain_scores_codex":[0.9997187,0.0001118013,0.000007369153,0.00007163278,0.00003428519,0.00005606319],"domain_scores_gemma":[0.9993536,0.0002385399,0.0001055076,0.00008585896,0.00004760495,0.0001688439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001114632,0.001564146,0.7764021,0.0001654032,0.0003987078,0.0002875098,0.005523471,0.006826986,0.06494115,0.02950911,0.001419144,0.1118477],"study_design_scores_gemma":[0.00004646315,0.0004692844,0.9370093,0.0000398934,0.00009110674,0.0001918643,0.004687363,0.01669228,0.005978631,0.03275435,0.001990437,0.00004905241],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960451,0.00003275267,0.002300048,0.0002564627,0.000007795556,0.000003899059,0.00001890146,0.000009069052,0.001325959],"genre_scores_gemma":[0.9992448,0.00001309941,0.000547975,0.00002858311,0.000002573822,0.00000334876,0.00001160077,0.000004945702,0.0001429776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001848914,"threshold_uncertainty_score":0.005596578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05125484320187321,"score_gpt":0.3383887899925705,"score_spread":0.2871339467906973,"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."}}