{"id":"W6905733480","doi":"10.15468/dl.qy9xwt","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":[0.0009251151,0.002136872,0.001556109,0.005122776,0.000981589,0.002528657,0.002594795,0.002021829,0.1610346],"category_scores_gemma":[0.006046367,0.0009158367,0.001250228,0.009937971,0.0004412504,0.002172474,0.002503445,0.001825396,0.2176152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001526545,"about_ca_system_score_gemma":0.002359817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02152298,"about_ca_topic_score_gemma":0.03347832,"domain_scores_codex":[0.9989254,0.0001459052,0.0001392574,0.0003860166,0.0002240099,0.0001794631],"domain_scores_gemma":[0.9975332,0.0007351115,0.0002369761,0.0006123097,0.0006071543,0.0002751832],"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":[0.00003422035,0.00001232719,0.000428117,0.0005761812,0.0000153307,0.00001558288,0.00002252422,0.0001372978,0.0001237909,0.0003565381,0.9968255,0.001452533],"study_design_scores_gemma":[0.00008575359,0.00001173347,0.002061985,0.000206863,0.0000170057,0.00003964383,0.00007300042,0.0001749543,0.0002078009,0.000824553,0.9962764,0.00002017271],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004530129,0.00002720236,0.00003701621,0.00003398272,0.00001178412,0.000005061478,0.9988928,0.0003590405,0.0005877692],"genre_scores_gemma":[0.0001634438,0.00003495428,0.0001782676,0.00004620531,0.000003592847,0.00004086371,0.9989328,0.0001396965,0.0004601233],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8389654,"threshold_uncertainty_score":0.5387145,"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."}}