{"id":"W2947999068","doi":"","title":"Improving survey tools for early detection of exotic and potentially invasive forest insects","year":2018,"lang":"en","type":"article","venue":"MacEwan University Student Research Proceedings","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"MacEwan University","funders":"","keywords":"Invasive species; Agroforestry; Remote sensing; Geography; Ecology; Environmental science; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.006426026,0.0009512329,0.0007090265,0.002992822,0.0005886491,0.001564813,0.001562799,0.001461531,0.003744999],"category_scores_gemma":[0.01536541,0.0008543818,0.0005497251,0.001049698,0.0003223062,0.003134031,0.001264392,0.0009856353,0.001593962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005388419,"about_ca_system_score_gemma":0.001013341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003780824,"about_ca_topic_score_gemma":0.01562024,"domain_scores_codex":[0.9969079,0.001262477,0.0002193466,0.0004134843,0.0009171992,0.0002795345],"domain_scores_gemma":[0.9846839,0.007405948,0.00146988,0.000806762,0.005215928,0.0004176113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004345676,0.0006508075,0.2503633,0.0009266727,0.0001265213,0.0001729719,0.0008523425,0.002362983,0.1990797,0.0005752007,0.006746962,0.537708],"study_design_scores_gemma":[0.0001162075,0.002482168,0.71649,0.0008101511,0.0007440755,0.002240506,0.002942538,0.06869256,0.1609823,0.002439685,0.04182845,0.0002313733],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5892339,0.003763275,0.3834356,0.002803471,0.0003853634,0.001169826,0.002281684,0.00494477,0.01198209],"genre_scores_gemma":[0.4550585,0.001526464,0.5365257,0.001356733,0.0001126984,0.0004629081,0.001356282,0.0001976885,0.003403095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006426026,"threshold_uncertainty_score":0.03398448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07397110977730743,"score_gpt":0.2929200356450615,"score_spread":0.2189489258677541,"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."}}