{"id":"W2965318464","doi":"","title":"Grasshopper Population Sampling","year":2019,"lang":"en","type":"article","venue":"Journal of the Entomological Society of British Columbia","topic":"Orthoptera Research and Taxonomy","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Grasshopper; Sampling (signal processing); Population; Biology; Ecology; Computer science; Demography; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001228016,0.001063637,0.0008359246,0.005874087,0.002494259,0.0007740968,0.001757897,0.0005509804,0.01899211],"category_scores_gemma":[0.001710459,0.0005849651,0.0004932407,0.003437018,0.0004229989,0.0003188806,0.001175886,0.0005497951,0.008596987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002191981,"about_ca_system_score_gemma":0.004429644,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2337377,"about_ca_topic_score_gemma":0.5149332,"domain_scores_codex":[0.9986278,0.0001655556,0.0001069167,0.0004201451,0.0003926551,0.0002870212],"domain_scores_gemma":[0.9976921,0.0001017824,0.0003076615,0.0003844188,0.001103607,0.000410417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001119087,0.00163795,0.5797668,0.001349864,0.000390449,0.00214859,0.009344463,0.001860087,0.05601269,0.001984577,0.07855281,0.2658326],"study_design_scores_gemma":[0.0001102237,0.0005079958,0.8853681,0.0001746837,0.0001338921,0.0005819834,0.001193482,0.001148204,0.00248269,0.0002225386,0.1080213,0.00005481731],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7669647,0.001243369,0.01202676,0.0002012256,0.0001371321,0.02822957,0.1215549,0.0007897135,0.06885252],"genre_scores_gemma":[0.6686611,0.002096408,0.04130892,0.001567811,0.0002151534,0.0345036,0.1262007,0.0004026339,0.1250436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7662623,"threshold_uncertainty_score":0.4647545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01883907297993357,"score_gpt":0.2189389400292383,"score_spread":0.2000998670493048,"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."}}