{"id":"W2528001385","doi":"10.6084/m9.figshare.3987414.v3","title":"YorkU's Keele Campus ecology network: the study of plants, vertebrates and invertebrates in a forest","year":2016,"lang":"en","type":"article","venue":"Figshare","topic":"Botany, Ecology, and Taxonomy Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Invertebrate; Ecology; Geography; Environmental science; Biology","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":[0.0009651419,0.0004407128,0.0006545871,0.002974164,0.001196555,0.001472099,0.0007686331,0.0003413579,0.02012714],"category_scores_gemma":[0.003257979,0.0003658286,0.0003222493,0.006738543,0.0003218125,0.0011532,0.002270695,0.000621455,0.006328025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002696773,"about_ca_system_score_gemma":0.005038697,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4874837,"about_ca_topic_score_gemma":0.76337,"domain_scores_codex":[0.9994122,0.0001092193,0.00003821684,0.0001527158,0.0002025392,0.00008506104],"domain_scores_gemma":[0.9971296,0.0004114309,0.0003629208,0.0003825632,0.001011522,0.0007019567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003340502,0.0000677982,0.1915663,0.002331021,0.0002775599,0.0001475046,0.001768418,0.000462592,0.001770952,0.002625745,0.7316291,0.0670189],"study_design_scores_gemma":[0.00004485938,0.00003352208,0.4688043,0.0009325278,0.00007243083,0.00005369226,0.001713927,0.0004317272,0.0003301611,0.000741703,0.5267853,0.00005580104],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.04054376,0.003304763,0.001154814,0.0007166975,0.0001268152,0.0001403604,0.9345008,0.000284913,0.0192272],"genre_scores_gemma":[0.08563294,0.004260866,0.0100718,0.0004758715,0.0001029953,0.001190113,0.8687147,0.000455569,0.02909514],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5125164,"threshold_uncertainty_score":0.9692923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03758874384598497,"score_gpt":0.2152344140572283,"score_spread":0.1776456702112433,"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."}}