{"id":"W4394207538","doi":"10.6084/m9.figshare.3971724","title":"BIOL2050 Ecology Field Sample Training - Comparison of the Abundance and Diversity of Insects in the Danby Woodlot as Opposed to the Grassland","year":2016,"lang":"en","type":"dataset","venue":"Figshare","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Grassland; Abundance (ecology); Ecology; Diversity (politics); Sample (material); Field (mathematics); Geography; Forestry; Biology; Mathematics; Sociology","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":[0.0005072709,0.0003693529,0.0002140577,0.0008379163,0.0008849291,0.0003010506,0.000488391,0.000226736,0.02413055],"category_scores_gemma":[0.0005086234,0.0001954172,0.0001188592,0.0005627442,0.0002594233,0.0001779702,0.0004937012,0.0002628596,0.004965012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009289843,"about_ca_system_score_gemma":0.0008213737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06993401,"about_ca_topic_score_gemma":0.2825229,"domain_scores_codex":[0.9997045,0.00005534524,0.00001388775,0.0001084562,0.00006720138,0.00005049584],"domain_scores_gemma":[0.9993823,0.0000585399,0.00006124909,0.00008394239,0.0002534807,0.0001605134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002289304,0.002866251,0.6825988,0.000426763,0.00006562234,0.0006115952,0.001833571,0.0002776062,0.07789212,0.0004389018,0.03416433,0.1965351],"study_design_scores_gemma":[0.00005166288,0.0004422539,0.9853657,0.00001712308,0.000005717864,0.000075397,0.0003716089,0.0001540186,0.002025501,0.00002331019,0.01146257,0.000005016805],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9381855,0.0001696347,0.002894804,0.0001380647,0.00005223003,0.00218154,0.01881407,0.0002816982,0.03728245],"genre_scores_gemma":[0.8472046,0.0002398514,0.01950771,0.0008507916,0.00005270405,0.005588724,0.04466596,0.0001506517,0.08173906],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.06993401,"threshold_uncertainty_score":0.1390539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09319697302496838,"score_gpt":0.2650435025400129,"score_spread":0.1718465295150445,"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."}}