{"id":"W6905717675","doi":"10.15468/dl.oyanw7","title":"Occurrence Download","year":2016,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Feature (linguistics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009501907,0.001980425,0.001617983,0.005324793,0.001006054,0.002662206,0.00283198,0.002141778,0.1347917],"category_scores_gemma":[0.006197188,0.000891455,0.001335131,0.009825318,0.0004245854,0.0024885,0.002552826,0.001906974,0.1945313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001615413,"about_ca_system_score_gemma":0.002372793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02032351,"about_ca_topic_score_gemma":0.03266289,"domain_scores_codex":[0.9988638,0.0001572833,0.0001667715,0.0003991593,0.0002309317,0.000182028],"domain_scores_gemma":[0.9975742,0.0006806572,0.0002420071,0.0006409165,0.0006092812,0.0002530127],"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":[0.00004193964,0.00001342817,0.0005676447,0.0007867569,0.00002026344,0.00002147494,0.00002950757,0.0001610648,0.0001438295,0.0004367992,0.9957536,0.002023616],"study_design_scores_gemma":[0.00007580665,0.00001004829,0.002112909,0.0002454023,0.00001721574,0.00004941147,0.00008062629,0.0002013528,0.0001932065,0.0007500923,0.9962459,0.00001798405],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005817033,0.00004247317,0.00005334213,0.00004104034,0.00001406343,0.000006337776,0.998665,0.0004670517,0.0006525989],"genre_scores_gemma":[0.0001803813,0.00004205892,0.0002093409,0.00004871309,0.000003637167,0.00004294297,0.99892,0.0001306273,0.0004223239],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8652083,"threshold_uncertainty_score":0.4509231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734962626846364,"score_gpt":0.227796013577581,"score_spread":0.2104463873091174,"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."}}