{"id":"W2756697958","doi":"10.15171/ijhpm.2017.114","title":"Why Learning How to Chase Butterflies Matters: A Response to Recent Commentaries","year":2017,"lang":"en","type":"letter","venue":"International Journal of Health Policy and Management","topic":"Animal and Plant Science Education","field":"Psychology","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Université de Montréal; Montreal Clinical Research Institute","funders":"","keywords":"Psychology; Public relations; Data science; Political science; 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":[0.01446255,0.001290698,0.002242446,0.001087881,0.01295794,0.009303391,0.005097162,0.1850421,0.01244999],"category_scores_gemma":[0.06898775,0.001758886,0.002323186,0.001261052,0.01010106,0.007562357,0.00552345,0.137739,0.01024537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01245471,"about_ca_system_score_gemma":0.02067776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02513608,"about_ca_topic_score_gemma":0.0413532,"domain_scores_codex":[0.9894359,0.002343408,0.001275997,0.001631174,0.002553878,0.002759596],"domain_scores_gemma":[0.9397278,0.03776245,0.003742531,0.00102918,0.007695826,0.01004225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004470096,0.00003196431,0.0004794163,0.00005269074,0.00001715436,0.0005659019,0.0006602307,0.00003911031,0.0001341017,0.002135857,0.9922735,0.003565182],"study_design_scores_gemma":[0.0001590564,0.00008386655,0.002242031,0.0008609272,0.00008409697,0.0006789215,0.003713717,0.0003496213,0.0004518813,0.01260475,0.9786116,0.0001594253],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001193965,0.0002804432,0.00002000553,0.9936535,0.005482934,0.000003394878,0.00001352542,0.000006352323,0.0004203727],"genre_scores_gemma":[0.0009139986,0.0001791085,0.00003740558,0.9910289,0.006258094,0.00001295375,0.000005422096,0.00001120586,0.001552818],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1850421,"threshold_uncertainty_score":0.09036571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08325620447649268,"score_gpt":0.432705320753466,"score_spread":0.3494491162769733,"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."}}