{"id":"W6962254424","doi":"10.15468/dl.ujh0wo","title":"Occurrence Download","year":2018,"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); State (computer science)","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":[0.000894865,0.001987215,0.001574946,0.005031244,0.0009853641,0.002843112,0.003036852,0.001914775,0.1675159],"category_scores_gemma":[0.006179411,0.0009108333,0.001212282,0.01047309,0.0004369675,0.002445289,0.002723642,0.002094898,0.2481181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001610755,"about_ca_system_score_gemma":0.002415994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.021543,"about_ca_topic_score_gemma":0.03591064,"domain_scores_codex":[0.9990183,0.0001309008,0.0001248026,0.0003460922,0.0002182268,0.0001616587],"domain_scores_gemma":[0.9977957,0.0005964084,0.0001989384,0.0005980034,0.0005558414,0.0002550846],"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":[0.00002359926,0.000009389619,0.0003267196,0.0004860602,0.00001410177,0.00001323522,0.00002145889,0.0001072089,0.00008194517,0.0003563709,0.9971041,0.001455615],"study_design_scores_gemma":[0.00005937751,0.000006776363,0.001499173,0.0001918083,0.00001393825,0.00003592156,0.000066177,0.0001501788,0.0001546329,0.0007932869,0.9970138,0.00001481004],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003863576,0.00003484292,0.00005010728,0.00004002917,0.00001278085,0.000005400496,0.9986497,0.0004606389,0.0007079027],"genre_scores_gemma":[0.0001433766,0.00004021206,0.0001912597,0.00004344247,0.000003375041,0.00004044571,0.9988726,0.0001593965,0.0005059464],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8324841,"threshold_uncertainty_score":0.5603964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}