{"id":"W6943450654","doi":"10.15468/dl.td96rv","title":"Occurrence Download","year":2022,"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); Order (exchange)","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":[0.000934634,0.001926999,0.001574754,0.005039894,0.0009516694,0.002496089,0.002692837,0.001943987,0.1534126],"category_scores_gemma":[0.00553152,0.0008890257,0.001097649,0.009847688,0.0004380249,0.002244769,0.002457035,0.001925541,0.2171379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001458312,"about_ca_system_score_gemma":0.002234663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0203838,"about_ca_topic_score_gemma":0.03515292,"domain_scores_codex":[0.9990256,0.0001344212,0.0001247562,0.0003431469,0.000212097,0.0001599452],"domain_scores_gemma":[0.9976357,0.0006592569,0.0002297751,0.0006201101,0.000575717,0.0002793797],"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":[0.00002986847,0.00001187426,0.0004086244,0.0005612831,0.00001547326,0.00001631989,0.00002618845,0.0001308365,0.000127225,0.0003907991,0.9968253,0.001456251],"study_design_scores_gemma":[0.00006848126,0.00000741648,0.00187743,0.0001719107,0.00001312322,0.00003502601,0.00007369106,0.0001335845,0.0001793876,0.0007432234,0.9966789,0.00001769915],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004292278,0.00002499446,0.00004413604,0.00003169425,0.0000111141,0.000004860734,0.9988893,0.0003476621,0.0006032359],"genre_scores_gemma":[0.0001656858,0.00003185041,0.000198699,0.00004058862,0.000003424911,0.00004065482,0.9989034,0.0001439705,0.0004716921],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8465874,"threshold_uncertainty_score":0.5132163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}