{"id":"W6887278094","doi":"10.15468/dl.zhkd9r","title":"Occurrence Download","year":2020,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geodetic datum; Matching (statistics); Download; Range (aeronautics); Data set","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":[0.0009571849,0.001875632,0.001523276,0.005091893,0.0009578486,0.002815178,0.002758942,0.001738379,0.1944638],"category_scores_gemma":[0.005870601,0.0009712374,0.001133625,0.01094587,0.000428492,0.002368386,0.002558646,0.001887002,0.2718569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00159543,"about_ca_system_score_gemma":0.00236466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02214791,"about_ca_topic_score_gemma":0.0330514,"domain_scores_codex":[0.9990504,0.0001240034,0.0001263093,0.0003296292,0.0002095559,0.0001600052],"domain_scores_gemma":[0.9977857,0.0006109455,0.0001957106,0.0005674764,0.0005769045,0.0002632839],"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":[0.00002659905,0.000008806448,0.0003048301,0.0004789664,0.00001212255,0.00001354727,0.00002269523,0.0001043654,0.00009289713,0.0003816505,0.9969993,0.001554346],"study_design_scores_gemma":[0.00005108051,0.000006085775,0.001504675,0.0001570586,0.0000112432,0.00003137602,0.00006356861,0.0001211994,0.0001536631,0.0007271955,0.9971586,0.00001424138],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003146623,0.00002302472,0.0000438298,0.00003128667,0.0000105709,0.000004517845,0.9987741,0.000381617,0.0006996609],"genre_scores_gemma":[0.0001389761,0.00003509941,0.0001901699,0.0000408728,0.000003341492,0.00003886221,0.9987817,0.0001783092,0.0005926556],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8055362,"threshold_uncertainty_score":0.6505463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}