{"id":"W2744742944","doi":"10.1177/0306312717721410","title":"Casting a wider net: A reply to Collins, Evans and Weinel","year":2017,"lang":"en","type":"letter","venue":"Social Studies of Science","topic":"Education, Healthcare and Sociology Research","field":"Psychology","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Net (polyhedron); Casting; Sociology; Epistemology; Philosophy; Art; Visual arts; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["sts"],"domain":null,"study_design":"not_applicable","genre":"commentary","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["sts"],"domain":null,"study_design":"not_applicable","genre":"commentary","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.002364666,0.000166753,0.0005174428,0.0001764301,0.003147245,0.00004191801,0.0006603927,0.0003078627,0.00003113837],"category_scores_gemma":[0.002273195,0.0001520698,0.00005810582,0.0003074517,0.008330553,0.00007525524,0.0003170164,0.0008345543,0.00003730105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001604771,"about_ca_system_score_gemma":0.0005753425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002508797,"about_ca_topic_score_gemma":0.0002398086,"domain_scores_codex":[0.9977145,0.000206701,0.0003297192,0.0006439679,0.0004193589,0.0006857609],"domain_scores_gemma":[0.9980003,0.0005688977,0.0002931107,0.000363917,0.0006939954,0.00007982842],"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":[0.000007427221,0.00001045052,0.00404851,0.00008152382,0.00005515296,0.00001872681,0.09815934,1.603222e-8,0.00001578143,0.0001256597,0.8950825,0.002394857],"study_design_scores_gemma":[0.0002111654,0.000244055,0.05431606,0.0001228369,0.00003481106,0.00001144072,0.05528594,3.135598e-7,0.000003521631,0.001337095,0.8881492,0.0002835688],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.12306,0.004471871,0.000002363295,0.8639834,0.002152155,0.0004923481,0.00002898663,0.00001581128,0.005793025],"genre_scores_gemma":[0.1905125,0.001287971,0.0004891076,0.754621,0.01410574,0.0005059572,0.00001088016,0.00005493424,0.03841198],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1093624,"threshold_uncertainty_score":0.9981505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3011701360541412,"score_gpt":0.5564263738925604,"score_spread":0.2552562378384193,"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."}}