{"id":"W6962553752","doi":"10.15468/dl.yv65p9","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; Range (aeronautics); Confidentiality; Task (project management)","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":[0.000905484,0.002053403,0.001645863,0.005366635,0.0009332565,0.002633886,0.002665688,0.001895785,0.1706246],"category_scores_gemma":[0.005609906,0.0009488676,0.001182216,0.0105992,0.0004281389,0.002306658,0.002624008,0.001858339,0.2355861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001477048,"about_ca_system_score_gemma":0.00223189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01869589,"about_ca_topic_score_gemma":0.03209264,"domain_scores_codex":[0.9989366,0.0001416721,0.0001393834,0.0003840176,0.0002215202,0.0001768454],"domain_scores_gemma":[0.9975848,0.0006541655,0.0002450215,0.0006233834,0.000614015,0.0002786351],"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":[0.00003425382,0.00001092627,0.0003752107,0.0006239126,0.00001629764,0.00001418091,0.00002204703,0.0001195618,0.0001280524,0.0003878501,0.9967535,0.001514074],"study_design_scores_gemma":[0.00007034705,0.000008530167,0.001701383,0.0001851587,0.00001481765,0.00003347042,0.00005673721,0.0001175278,0.0001710003,0.0007423171,0.9968809,0.00001779644],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003697368,0.00002780442,0.00003695419,0.00002820855,0.00001066899,0.000004403631,0.9989344,0.000309048,0.0006114921],"genre_scores_gemma":[0.0001444923,0.00003729467,0.0001803765,0.00004512548,0.000003510026,0.00003801005,0.998921,0.0001379188,0.0004921575],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8293754,"threshold_uncertainty_score":0.5707961,"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."}}