{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001447198,0.0001020535,0.0001301598,0.0001802531,0.0005877212,0.00008289968,0.0003772185,0.00008192463,0.00006652053],"category_scores_gemma":[0.0004710644,0.0001088277,0.00003354593,0.000455329,0.0007394862,0.0005551796,0.0009790714,0.0001590036,0.00002657324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002359175,"about_ca_system_score_gemma":0.00002559487,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003300096,"about_ca_topic_score_gemma":0.0191834,"domain_scores_codex":[0.9986472,0.00005461136,0.0001153655,0.0003687611,0.0004098653,0.0004042654],"domain_scores_gemma":[0.9993,0.0002077627,0.00008503434,0.00009251323,0.0002085836,0.0001060827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008528627,0.0002251677,0.9056369,0.0001738422,0.00008914222,0.00001923008,0.00384144,0.000005644183,0.07965709,0.001847265,0.0007990896,0.006852311],"study_design_scores_gemma":[0.0006905944,0.001473406,0.9917367,0.00001438834,0.00001684819,0.000003359626,0.001881006,0.00008667729,0.003048423,0.0003649438,0.0005742023,0.0001094383],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947882,0.000003228226,0.0005182552,0.00003577294,0.00005675032,0.0009940432,0.00000666416,0.00002290118,0.003574193],"genre_scores_gemma":[0.9986162,0.00001472232,0.0003556004,0.00001677462,0.00002680509,0.000007219963,0.000002481611,0.00000891187,0.000951332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0860998,"threshold_uncertainty_score":0.998714,"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."}}