{"id":"W3160965276","doi":"10.31234/osf.io/e7gxu","title":"The Motivation to Empathize Scale - Indexing Virtuous and Nonvirtuous Motives to Empathize","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Emotional Intelligence and Performance","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Empathy; Psychology; Social psychology; Sympathy; Construct (python library); Virtuous circle and vicious circle; Interpersonal communication; Scale (ratio); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002623305,0.0003688069,0.0003943626,0.001504208,0.0006024523,0.001434599,0.0005519878,0.0007135586,0.003876451],"category_scores_gemma":[0.01446093,0.0003085877,0.0007928726,0.0005528519,0.0007069373,0.001015567,0.002417683,0.001543442,0.0008032431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006605774,"about_ca_system_score_gemma":0.0007702502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000296013,"about_ca_topic_score_gemma":0.0009071339,"domain_scores_codex":[0.9979441,0.0008086017,0.0002879517,0.0001247643,0.0006849545,0.0001497217],"domain_scores_gemma":[0.9937617,0.002179984,0.001626687,0.0004605799,0.001093939,0.0008771324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006356728,0.00155871,0.5728415,0.001963396,0.0006897185,0.000663429,0.0435204,0.0014941,0.01627252,0.01310431,0.01708763,0.3301686],"study_design_scores_gemma":[0.0001073424,0.0006858654,0.9385158,0.0003194579,0.0001319912,0.001082115,0.01309493,0.003464371,0.002076329,0.008023631,0.03235881,0.0001393157],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9749059,0.0003152639,0.00581634,0.0004571978,0.0000648471,0.00137073,0.0006690554,0.0001302924,0.01627035],"genre_scores_gemma":[0.9617106,0.0005501047,0.02882257,0.000244236,0.00004539793,0.003137997,0.0009770121,0.00005103447,0.004461098],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.003876451,"threshold_uncertainty_score":0.01387352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06783199711142482,"score_gpt":0.3517545345286744,"score_spread":0.2839225374172496,"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."}}