{"id":"W2945198731","doi":"10.1215/18752160-7543073","title":"Tales of Tiger Beetles and Other Citizen Sciences","year":2019,"lang":"en","type":"article","venue":"East Asian Science Technology and Society An International Journal","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Tiger; Citizen science; Geography; Fishery; Biology; Computer science; Computer security; Botany","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.003966742,0.0005121656,0.0003985049,0.00227764,0.0115014,0.01020972,0.0007267704,0.003744538,0.01389091],"category_scores_gemma":[0.005031931,0.0001996378,0.0004846675,0.001655592,0.02615189,0.01333205,0.00726827,0.007496338,0.001574493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003561193,"about_ca_system_score_gemma":0.00272739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01130285,"about_ca_topic_score_gemma":0.0206605,"domain_scores_codex":[0.9979963,0.001005009,0.00003833838,0.0001650081,0.0003728295,0.0004224986],"domain_scores_gemma":[0.997117,0.001219291,0.0001578647,0.0002783024,0.0002890257,0.0009384187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002140447,0.00002904536,0.001088176,0.00007233118,0.00001689884,0.0002506785,0.02440715,0.00007305102,0.000204395,0.8256637,0.1236754,0.02449776],"study_design_scores_gemma":[0.000005549697,0.00001186007,0.0008689738,0.0001618258,0.000005780267,0.0001649133,0.01874615,0.00006713485,0.00007058158,0.1785456,0.801338,0.00001367759],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01928745,0.02644651,0.003260334,0.5652909,0.01007465,0.00003007154,0.0001118335,0.00009276476,0.3754054],"genre_scores_gemma":[0.5271388,0.02444397,0.003240105,0.194611,0.009874457,0.000120241,0.0001462771,0.000219446,0.2402057],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9884986,"threshold_uncertainty_score":0.04646975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01358168166439687,"score_gpt":0.3072949244757599,"score_spread":0.293713242811363,"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."}}