{"id":"W4400830243","doi":"10.1101/2024.07.16.603696","title":"Trap Spacing Protocols for Amazonian Dung Beetle Surveys","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundo Amazônia; Beijing Innovation Center for Future Chip; Asociación para la Conservación de la Cuenca Amazónica; International Conservation Fund of Canada; Gordon and Betty Moore Foundation","keywords":"Amazonian; Trap (plumbing); Geography; Environmental science; Forestry; Amazon rainforest; Ecology; Biology; Meteorology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007360204,0.001409216,0.001267067,0.003135809,0.002443845,0.0007783822,0.003007584,0.001122399,0.04766918],"category_scores_gemma":[0.009005544,0.001774587,0.0007195728,0.002516937,0.0005521846,0.000741093,0.00158262,0.001596609,0.01888024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000648212,"about_ca_system_score_gemma":0.001642993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001901478,"about_ca_topic_score_gemma":0.01242708,"domain_scores_codex":[0.9931263,0.001971276,0.001250987,0.001191722,0.001826881,0.000632842],"domain_scores_gemma":[0.9896551,0.001475352,0.0009871467,0.004519715,0.002759435,0.0006031967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003875322,0.001870265,0.02727353,0.004145417,0.0002834754,0.001246542,0.004786326,0.004620755,0.3524167,0.007009001,0.1092135,0.4832592],"study_design_scores_gemma":[0.002085396,0.00414777,0.1231769,0.00108303,0.0003382105,0.002443171,0.001278673,0.01321705,0.116497,0.006123895,0.7291751,0.000433933],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1173372,0.00216613,0.6294323,0.0005568752,0.001868282,0.1204696,0.0682312,0.01154476,0.04839366],"genre_scores_gemma":[0.06505821,0.0009925389,0.6597076,0.0007070022,0.0002141378,0.2264281,0.02754175,0.001687036,0.01766369],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04766918,"threshold_uncertainty_score":0.1594692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01685149572669722,"score_gpt":0.2417363255341683,"score_spread":0.2248848298074711,"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."}}