{"id":"W2945609460","doi":"10.1002/ece3.5255","title":"Reassessing the success of experts and nonexperts at correctly differentiating between closely related species from camera trap images: A reply to Gooliaff and Hodges","year":2019,"lang":"en","type":"editorial","venue":"Ecology and Evolution","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Sympatric speciation; Consistency (knowledge bases); Artificial intelligence; Camera trap; Trap (plumbing); Computer science; Trapping; Ecology; Biology; Geography; Habitat; Meteorology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.05542692,0.0009938424,0.001628852,0.002886129,0.004888657,0.004971643,0.004466605,0.03460482,0.003047491],"category_scores_gemma":[0.2158775,0.001020487,0.001297878,0.001384647,0.01482615,0.01356757,0.004442705,0.03602526,0.003986418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004135916,"about_ca_system_score_gemma":0.003511312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01021821,"about_ca_topic_score_gemma":0.01253165,"domain_scores_codex":[0.9670987,0.01391199,0.003140751,0.006389583,0.008392151,0.001066876],"domain_scores_gemma":[0.7156412,0.1678288,0.01084508,0.01063516,0.08718655,0.007863281],"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":[0.0001242765,0.0000607767,0.005564098,0.000360332,0.0001235061,0.0003837401,0.006123013,0.00008474896,0.0005213612,0.00377465,0.9307153,0.05216413],"study_design_scores_gemma":[0.0001753574,0.0003070174,0.0232958,0.003542383,0.000215713,0.004427788,0.02316366,0.001193016,0.002371742,0.05088794,0.8895959,0.0008237477],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.001481161,0.00468837,0.0007186779,0.9775909,0.01494065,0.000009521162,0.00004960367,0.00004983578,0.0004712041],"genre_scores_gemma":[0.02779337,0.003052147,0.002397924,0.9442784,0.0208623,0.00007480606,0.00007326298,0.00009760383,0.00137009],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.05542692,"threshold_uncertainty_score":0.293129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01302381891701271,"score_gpt":0.2456855969735558,"score_spread":0.2326617780565431,"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."}}