{"id":"W2529946538","doi":"","title":"Addressing affective states with empathy and growth mindset","year":2016,"lang":"en","type":"article","venue":"","topic":"Neuroscience, Education and Cognitive Function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Mindset; Empathy; Psychology; Social psychology; Cognitive psychology; Computer science; Artificial intelligence","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":[0.00006754442,0.00008673094,0.00006146156,0.00007582957,0.0001683113,0.00007271783,0.00005736502,0.00001524623,0.0001283631],"category_scores_gemma":[0.0003012883,0.00004533125,0.00001041848,0.0002180876,0.0002550366,0.0003745978,0.00002255058,0.00003893965,0.00004890895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001493016,"about_ca_system_score_gemma":0.00003587261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007995675,"about_ca_topic_score_gemma":0.000006557134,"domain_scores_codex":[0.9991795,0.00007518994,0.00006113681,0.0003595385,0.0001590475,0.0001655197],"domain_scores_gemma":[0.9994388,0.0003091769,0.00004080335,0.00007634186,0.00005239962,0.00008249882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00012153,0.0001396145,0.01983353,0.000009704438,0.000001832187,0.00001289696,0.00103986,1.881055e-7,0.9387265,0.004610472,0.00123208,0.03427175],"study_design_scores_gemma":[0.0004823395,0.0002850718,0.03969173,0.00003449492,0.000004727774,0.00004594881,0.0004633162,0.0000252247,0.9573002,0.001098899,0.0004318742,0.0001361649],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985026,0.000003307166,0.004179866,0.001070872,0.0001808729,0.0001324938,0.000009941943,0.00006808812,0.00932854],"genre_scores_gemma":[0.9955975,0.00001998262,0.0000536732,0.001650875,0.00002791168,0.00001745228,3.337263e-7,0.00000763247,0.002624623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03413558,"threshold_uncertainty_score":0.1848555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04477819634205844,"score_gpt":0.2886985326972552,"score_spread":0.2439203363551967,"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."}}