{"id":"W6887246181","doi":"10.15468/dl.td6r9m","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":"Matching (statistics); Download; Alien; 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":[0.0009267036,0.002089418,0.0015256,0.004961972,0.0009818325,0.002470346,0.002623158,0.001971237,0.1633551],"category_scores_gemma":[0.005901416,0.0008839403,0.001214408,0.009729216,0.0004436164,0.002105783,0.00246753,0.001795143,0.220963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001470929,"about_ca_system_score_gemma":0.002301799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02085543,"about_ca_topic_score_gemma":0.03295856,"domain_scores_codex":[0.9989741,0.0001393767,0.0001289493,0.0003696072,0.0002168894,0.0001711196],"domain_scores_gemma":[0.9976192,0.0006916816,0.0002264074,0.0006034821,0.0005918713,0.0002672791],"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":[0.00003201745,0.00001177569,0.0003988697,0.0005347738,0.00001399993,0.00001448584,0.00002120328,0.0001299392,0.0001223276,0.0003429108,0.9969174,0.001460354],"study_design_scores_gemma":[0.00008116151,0.0000109429,0.001913179,0.0001900421,0.00001553059,0.00003748537,0.00006840561,0.0001637045,0.0002026216,0.0007955979,0.9965023,0.0000190048],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004761313,0.00002853269,0.00004031328,0.00003504039,0.00001284269,0.000005458277,0.9987832,0.0003879955,0.0006590871],"genre_scores_gemma":[0.0001692308,0.00003540612,0.0001923088,0.0000475349,0.000003797474,0.00004518512,0.9988678,0.0001506233,0.0004882309],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8366449,"threshold_uncertainty_score":0.5464772,"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."}}