{"id":"W6906102704","doi":"10.15468/dl.ygba0a","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":"Download; Matching (statistics); Range (aeronautics); 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":[0.001019609,0.002020485,0.001584723,0.005558993,0.0008783562,0.002512483,0.002812059,0.001996578,0.1569786],"category_scores_gemma":[0.005762158,0.0008985598,0.001174122,0.01069041,0.0004530928,0.002152123,0.002590342,0.001813857,0.2134112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001653293,"about_ca_system_score_gemma":0.002391309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02188996,"about_ca_topic_score_gemma":0.03350666,"domain_scores_codex":[0.9989387,0.0001394022,0.0001464476,0.0003514131,0.0002375339,0.0001864175],"domain_scores_gemma":[0.9974738,0.0006295746,0.0002574316,0.0006740473,0.0006416182,0.0003235281],"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":[0.00003556146,0.00001145303,0.0003759047,0.0006037503,0.00001679825,0.00001573906,0.00002191373,0.0001278339,0.0001324631,0.000386736,0.9968003,0.00147172],"study_design_scores_gemma":[0.00008073495,0.000008723567,0.002020377,0.0001978179,0.00001519745,0.00003667872,0.00006273563,0.0001358434,0.0002024196,0.0007282599,0.9964933,0.0000179052],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003541622,0.00002290351,0.00003047999,0.00002843706,0.000009057318,0.000004678766,0.9990545,0.0002864628,0.0005280526],"genre_scores_gemma":[0.0001401945,0.00003019546,0.0001419116,0.00004023304,0.000002984289,0.00003421966,0.9991097,0.0001099693,0.0003905359],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8430214,"threshold_uncertainty_score":0.5251456,"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."}}