{"id":"W6943816151","doi":"10.15468/dl.q8crwh","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); Identification (biology); Order (exchange)","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":[0.001078423,0.002045795,0.001554805,0.004710945,0.001006475,0.002609925,0.002988616,0.00221235,0.1557711],"category_scores_gemma":[0.006368538,0.0009599192,0.001199744,0.009638689,0.0004707082,0.002469447,0.002592205,0.002086665,0.2190178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001678935,"about_ca_system_score_gemma":0.002401079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0222337,"about_ca_topic_score_gemma":0.03540786,"domain_scores_codex":[0.9988716,0.0001570699,0.000145226,0.0003979209,0.0002484765,0.0001795801],"domain_scores_gemma":[0.997492,0.0007100212,0.0002309244,0.0006841034,0.0005920614,0.0002909093],"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":[0.00002878559,0.0000116009,0.0003326383,0.0004814571,0.00001391086,0.00001389845,0.00002226997,0.0001278615,0.0001089515,0.0003801269,0.9972263,0.001252211],"study_design_scores_gemma":[0.00007559602,0.00000819466,0.00170122,0.0001737816,0.00001318441,0.00003490729,0.00007170549,0.0001586031,0.0001908038,0.0007749973,0.9967796,0.00001740147],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000395733,0.00002393771,0.0000431275,0.00003666794,0.00001165386,0.000005139849,0.9988592,0.0003592353,0.0006215298],"genre_scores_gemma":[0.0001490071,0.0000286309,0.0001796541,0.00004271373,0.000003161105,0.00003899116,0.9989785,0.0001366822,0.0004426151],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8442289,"threshold_uncertainty_score":0.5211063,"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."}}