{"id":"W2608973293","doi":"10.1371/journal.pbio.2001829","title":"The School Malaise Trap Program: Coupling educational outreach with scientific discovery","year":2017,"lang":"en","type":"article","venue":"PLoS Biology","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"TD Friends of the Environment Foundation; Genome Canada","keywords":"Barcode; Outreach; Biology; Biodiversity; Stewardship (theology); Diversity (politics); Identification (biology); Fauna; Genomics; Evolutionary biology; Ecology; Genome; Genetics; Anthropology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.0001552347,0.0001255853,0.0001002463,0.00001341534,0.002916906,0.0003020192,0.000676328,0.00004728799,0.000298638],"category_scores_gemma":[0.00008374896,0.00007593058,0.00003625593,0.00004020094,0.003325327,0.0002898132,0.000512023,0.0001190523,0.0009432738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001321453,"about_ca_system_score_gemma":0.000009632801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001095343,"about_ca_topic_score_gemma":0.0001922885,"domain_scores_codex":[0.9989958,0.00001804587,0.0001004552,0.0004004265,0.0001731326,0.0003121847],"domain_scores_gemma":[0.9991931,0.00007315,0.0001101855,0.000544761,0.000005222316,0.00007354303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000203966,0.0001684656,0.9930303,0.000002062736,0.00003182243,0.000001048653,0.00005662255,0.00001279987,0.003946832,0.0001143207,0.001521085,0.001094228],"study_design_scores_gemma":[0.0001981631,0.0001107856,0.9875379,0.000007493269,0.00002283546,0.000002675788,0.0001303712,0.00006670628,0.0009082943,0.000286059,0.01059597,0.0001327233],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927472,0.0000945286,0.000005702886,0.002682023,0.0002231079,0.0003448383,0.00002358682,0.00002467951,0.003854348],"genre_scores_gemma":[0.9940705,0.00005025347,0.001400317,0.00004846355,0.00005192518,0.00007708605,0.00002202347,0.000006706241,0.004272746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009074885,"threshold_uncertainty_score":0.9998346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02376460957008208,"score_gpt":0.2575497865445051,"score_spread":0.233785176974423,"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."}}