{"id":"W6905653850","doi":"10.15468/dl.khp33n","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); Alien","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":[0.0009634881,0.001973503,0.001519876,0.004737976,0.0009992212,0.002509989,0.002659601,0.002120281,0.1597766],"category_scores_gemma":[0.006112164,0.000848818,0.001253493,0.008943207,0.0004472202,0.002405772,0.002556301,0.001946952,0.2311632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001491012,"about_ca_system_score_gemma":0.002230366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02072703,"about_ca_topic_score_gemma":0.03395181,"domain_scores_codex":[0.9989735,0.0001481566,0.000127923,0.0003643601,0.0002180267,0.0001680773],"domain_scores_gemma":[0.9974291,0.0007423538,0.0002219246,0.0006873604,0.0006412053,0.0002780337],"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":[0.00002868144,0.0000123051,0.0004018385,0.000506828,0.00001323441,0.00001507342,0.00002316235,0.0001285558,0.0001038546,0.0003309717,0.9969383,0.00149715],"study_design_scores_gemma":[0.00007195739,0.000009720143,0.001906794,0.0002000378,0.00001366657,0.00003751727,0.00008584122,0.0001820567,0.0001836571,0.0008031498,0.9964873,0.00001827043],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005003595,0.00002995161,0.00004785601,0.00004441056,0.00001489492,0.000006284146,0.9986957,0.0004438949,0.0006670134],"genre_scores_gemma":[0.0001784339,0.00003494584,0.0002163269,0.00005076178,0.00000425099,0.00004600887,0.9988267,0.0001508622,0.0004917691],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8402234,"threshold_uncertainty_score":0.534506,"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."}}