{"id":"W6929631010","doi":"10.5061/dryad.7h44j0zvd","title":"Raw data of eDNA quantities from an experimental study testing temperature, water masses, and fish species","year":2021,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Microbial Inactivation Methods","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Ressources naturelles et des Forêts (Québec); Université Laval","funders":"","keywords":"Abiotic component; Environmental DNA; Aquatic ecosystem; Fish <Actinopterygii>; Aquatic science; Hydrobiology; Aquatic environment","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":[0.002505543,0.001670046,0.00152381,0.00291867,0.001011709,0.001546363,0.002065602,0.001588079,0.01749126],"category_scores_gemma":[0.01031226,0.0005023858,0.001020783,0.005396919,0.00057329,0.000838805,0.001408165,0.001311848,0.01580007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001807806,"about_ca_system_score_gemma":0.003174016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02928171,"about_ca_topic_score_gemma":0.0584599,"domain_scores_codex":[0.9984627,0.0002240338,0.0002107318,0.0005647592,0.0003620386,0.0001757712],"domain_scores_gemma":[0.9956188,0.00173352,0.0005066724,0.0009051781,0.001027484,0.0002083461],"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":[0.00115163,0.0002262248,0.04525052,0.01595794,0.0009439997,0.0003254997,0.0003203769,0.004058368,0.00769706,0.00231504,0.8764864,0.04526703],"study_design_scores_gemma":[0.0004746694,0.00007326036,0.06100897,0.0008564232,0.0002623424,0.0001770759,0.0002134249,0.0009202111,0.003600405,0.002036365,0.930292,0.00008495611],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001265739,0.0001560251,0.0003906402,0.00003936289,0.00001564634,0.00002883555,0.9973236,0.0002384942,0.0005415981],"genre_scores_gemma":[0.002539905,0.00008865024,0.00174166,0.00003801997,0.000003637721,0.000253295,0.9947854,0.00006328656,0.0004860846],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02928171,"threshold_uncertainty_score":0.05851406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1496311217383212,"score_gpt":0.4054529141133224,"score_spread":0.2558217923750011,"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."}}