{"id":"W6892126374","doi":"10.5061/dryad.f3p75","title":"Data from: Arthropod diversity in a tropical forest","year":2012,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Species richness; Biodiversity; Arthropod; Rainforest; Range (aeronautics); Taxon; Species diversity; Ecosystem; Tropical rainforest","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008657483,0.001489388,0.001202082,0.002404023,0.0006802,0.001704898,0.001909637,0.001183633,0.03650416],"category_scores_gemma":[0.003846633,0.0005717684,0.0008284608,0.004395411,0.0003560723,0.0009284317,0.001595083,0.001117143,0.02660312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001126021,"about_ca_system_score_gemma":0.001505938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0331052,"about_ca_topic_score_gemma":0.053261,"domain_scores_codex":[0.9993756,0.00007794851,0.00008251994,0.0002119094,0.0001490663,0.0001028782],"domain_scores_gemma":[0.9985237,0.0003619977,0.000304019,0.0002584682,0.0003219068,0.0002300663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001732425,0.00004094581,0.01019025,0.002048556,0.0001451025,0.000103884,0.0001249716,0.0008778452,0.0003751627,0.0007026507,0.9795497,0.00566762],"study_design_scores_gemma":[0.0007570821,0.00003611565,0.0594754,0.000661437,0.0001409157,0.000273699,0.0002346367,0.001668074,0.0007685348,0.001502397,0.9344043,0.00007748004],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005146524,0.0000633675,0.00004071276,0.00002945705,0.000005552166,0.000005974669,0.9989418,0.0001103477,0.0002881517],"genre_scores_gemma":[0.001568905,0.00005332601,0.0002582276,0.00002214383,0.000004471242,0.00005894989,0.997773,0.00002762019,0.0002333651],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03650416,"threshold_uncertainty_score":0.1221185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2040147925519351,"score_gpt":0.3742616886349828,"score_spread":0.1702468960830478,"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."}}