{"id":"W3112634548","doi":"10.1080/10494820.2020.1857787","title":"The roles of generic and domain-specific mindsets in learning graphic design principles","year":2020,"lang":"en","type":"article","venue":"Interactive Learning Environments","topic":"Education, Achievement, and Giftedness","field":"Psychology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Killam Trusts; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Mindset; Domain (mathematical analysis); Psychology; Constructive; Relation (database); Computer science; Artificial intelligence; Process (computing)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000350581,0.0001566359,0.0001736566,0.00008136898,0.0001660432,0.000028432,0.0001807966,0.00006333672,0.0001688403],"category_scores_gemma":[0.00006188105,0.0001318887,0.00004098296,0.0001377734,0.0001760192,0.00009389304,0.00007727886,0.0004915759,0.00005370741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004266542,"about_ca_system_score_gemma":0.000008608241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001413642,"about_ca_topic_score_gemma":0.00001047837,"domain_scores_codex":[0.9982159,0.0007341062,0.00029463,0.0003539818,0.0001630154,0.000238442],"domain_scores_gemma":[0.9989911,0.00050997,0.0002776625,0.0001463895,0.000008173488,0.00006668182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003803771,0.0002343879,0.888383,0.00001104222,0.000149579,0.00001256903,0.06993692,0.00314436,0.01860281,0.0005727577,0.0001416826,0.0184305],"study_design_scores_gemma":[0.0007224268,0.0003390206,0.8045304,0.00003804413,0.00001310813,0.000003678102,0.03150424,0.0001443963,0.001359725,0.0001154803,0.1610405,0.00018897],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937773,0.0009195756,0.0032084,0.0004459854,0.0001628426,0.0002186471,0.000001161068,0.00001462116,0.001251466],"genre_scores_gemma":[0.9981499,0.0004154225,0.0003776467,0.00007226567,0.00005995182,0.00005512992,0.000009175445,0.00002655064,0.000833936],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1608988,"threshold_uncertainty_score":0.5378267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04743609147729456,"score_gpt":0.2941129033234778,"score_spread":0.2466768118461832,"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."}}