{"id":"W4386138009","doi":"10.22543/0090-0222.2140","title":"First Ontario, Canada Record of the Water Boatman <i>Hesperocorixa Lobata</i> (Hemiptera: Corixidae)","year":2018,"lang":"en","type":"article","venue":"The Great Lakes Entomologist","topic":"Hemiptera Insect Studies","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hemiptera; Lobata; Biology; Zoology; Genus; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001944711,0.0002072911,0.0001686556,0.001339759,0.004501351,0.001066749,0.0004872581,0.000358604,0.006764627],"category_scores_gemma":[0.0006460358,0.0003235503,0.0001632144,0.001772447,0.0006050143,0.000492374,0.0006906576,0.0006888023,0.0005689982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01145033,"about_ca_system_score_gemma":0.01746333,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9707735,"about_ca_topic_score_gemma":0.9974903,"domain_scores_codex":[0.9997399,0.000009982577,0.000008158623,0.00005393603,0.0001308322,0.00005711053],"domain_scores_gemma":[0.9982955,0.00007100475,0.0001974563,0.0000555626,0.001127623,0.0002528925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003981551,0.00009988814,0.5162359,0.001334399,0.000187732,0.001992189,0.02065803,0.0002120484,0.01945606,0.00457886,0.1424459,0.2924008],"study_design_scores_gemma":[0.00001098746,0.00005753436,0.6259172,0.0002029848,0.00005924543,0.0004104686,0.004023792,0.0002001193,0.001372123,0.0001461921,0.3675698,0.00002955371],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7342295,0.01304467,0.003440516,0.004957698,0.0006003433,0.0003894384,0.03068619,0.0003748098,0.2122769],"genre_scores_gemma":[0.8702763,0.00616323,0.008694582,0.002497617,0.00008355455,0.0001272653,0.006555549,0.0001085673,0.1054934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02922654,"threshold_uncertainty_score":0.08307838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01880127386686347,"score_gpt":0.201764111550459,"score_spread":0.1829628376835956,"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."}}