{"id":"W6887163124","doi":"10.15468/dl.nkhkha","title":"Occurrence Download","year":2023,"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); Alien; Identification (biology)","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":[0.00105512,0.001941724,0.001610722,0.005240527,0.001059319,0.002625809,0.002759587,0.002148768,0.1602773],"category_scores_gemma":[0.006279994,0.0009144233,0.00129188,0.01012921,0.0004561557,0.002320232,0.002668864,0.002034149,0.2212609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001624329,"about_ca_system_score_gemma":0.002414655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02166928,"about_ca_topic_score_gemma":0.03579669,"domain_scores_codex":[0.998889,0.0001517485,0.0001414777,0.0003887792,0.00024793,0.0001810518],"domain_scores_gemma":[0.9971628,0.0008504026,0.0002509282,0.0007418043,0.0006948933,0.0002991595],"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":[0.00002919329,0.00001218541,0.0003944207,0.0005886983,0.00001521765,0.00001572988,0.00002595168,0.0001189156,0.0001273049,0.0003787813,0.9968241,0.001469558],"study_design_scores_gemma":[0.00007030708,0.000009105074,0.001989187,0.0002176435,0.0000151839,0.00003804157,0.0000817213,0.0001379965,0.0001894407,0.0007237472,0.9965094,0.00001825359],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004362427,0.00002842234,0.00004272818,0.00003742072,0.0000127572,0.000005642447,0.9988402,0.0003646754,0.0006246035],"genre_scores_gemma":[0.0001624343,0.00003562806,0.000203803,0.00004730748,0.00000367679,0.00004643071,0.9988689,0.0001480895,0.0004836646],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8397227,"threshold_uncertainty_score":0.536181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}