{"id":"W3012325652","doi":"10.1371/journal.pone.0229762","title":"The curse of observer experience: Error in noninvasive genetic sampling","year":2020,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Fish and Wildlife Service; Alberta Innovates; Parks Canada; University of Alberta; Alberta Conservation Association; Massachusetts Department of Fish and Game; Idaho Department of Fish and Game; Alberta Parks; Coypu Foundation; Bernice Barbour Foundation","keywords":"Gray wolf; Boredom; Sampling bias; Canis; Psychology; Evolutionary biology; Biology; Statistics; Ecology; Social psychology; Sample size determination; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.07027709,0.0006942906,0.0009051067,0.0008564595,0.001424254,0.001683989,0.00149639,0.0009955871,0.001531675],"category_scores_gemma":[0.2113476,0.0004716876,0.0006519659,0.0007995261,0.002701673,0.002102094,0.002588669,0.001491211,0.0003618837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001336263,"about_ca_system_score_gemma":0.001763138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008130009,"about_ca_topic_score_gemma":0.01692186,"domain_scores_codex":[0.9175921,0.05299614,0.006467781,0.009169748,0.01256356,0.001210666],"domain_scores_gemma":[0.6040741,0.2884552,0.05632409,0.02541453,0.02334318,0.002388881],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001326798,0.0003134637,0.722122,0.002320646,0.0009635276,0.000842882,0.04216092,0.002611506,0.005748665,0.002711365,0.0079914,0.2108869],"study_design_scores_gemma":[0.0001161131,0.002557398,0.9014745,0.002810095,0.0008322888,0.002079349,0.01747023,0.01090374,0.008990056,0.01039206,0.04203986,0.0003342456],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7895868,0.009217748,0.172937,0.006089693,0.002019425,0.000880528,0.0004938128,0.0003909288,0.01838403],"genre_scores_gemma":[0.9662575,0.0006744091,0.02762827,0.002511071,0.0002943822,0.000387388,0.0001813523,0.0001251969,0.001940478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9297229,"threshold_uncertainty_score":0.3716652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1012384907126076,"score_gpt":0.2493454785616875,"score_spread":0.1481069878490799,"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."}}