{"id":"W4394505025","doi":"10.6084/m9.figshare.1194623","title":"Insect Data from Grassland and Woodland Quadrat Samples","year":2014,"lang":"en","type":"dataset","venue":"Figshare","topic":"Botany and Plant Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quadrat; Grassland; Woodland; Forestry; Geography; Agroforestry; Ecology; 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":[0.0008037339,0.001215067,0.0009557392,0.00346936,0.001005478,0.001166928,0.001447208,0.0007428822,0.02376128],"category_scores_gemma":[0.003252556,0.0005739007,0.0008566101,0.006526122,0.0004248502,0.0004559772,0.001166562,0.000677911,0.01376769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004412,"about_ca_system_score_gemma":0.004291685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4163997,"about_ca_topic_score_gemma":0.6705782,"domain_scores_codex":[0.999067,0.00007823517,0.0001018331,0.0002444172,0.0003348369,0.0001737334],"domain_scores_gemma":[0.9971764,0.0002701092,0.0004694024,0.0004690842,0.001351023,0.0002639341],"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":[0.0003976302,0.00009977578,0.06899185,0.002693341,0.0002494676,0.0001773318,0.0004738035,0.001313313,0.001191758,0.0009575174,0.9092951,0.01415918],"study_design_scores_gemma":[0.0002355606,0.00003774681,0.2993682,0.0004163448,0.00009003668,0.00008328954,0.000437997,0.0005727399,0.0006308072,0.0003658425,0.6977072,0.0000542568],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002022056,0.0000637437,0.0000660277,0.00002074053,0.00000754502,0.00003234066,0.9969393,0.00006339892,0.0007848824],"genre_scores_gemma":[0.004670339,0.00005921539,0.0003975036,0.00001819234,0.000004695632,0.0002024374,0.9933401,0.00003321356,0.001274292],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4163997,"threshold_uncertainty_score":0.827952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.161268987080516,"score_gpt":0.2542973476531277,"score_spread":0.09302836057261168,"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."}}