{"id":"W6905755968","doi":"10.15468/dl.rvs8eh","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; The Internet","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":[0.001047866,0.001949082,0.001631053,0.00514971,0.00101386,0.002591506,0.002829985,0.002177937,0.1508401],"category_scores_gemma":[0.006144981,0.0009012685,0.001257404,0.01009065,0.0004594355,0.002335925,0.002531207,0.002053573,0.2094123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001649624,"about_ca_system_score_gemma":0.002427013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02271788,"about_ca_topic_score_gemma":0.03637461,"domain_scores_codex":[0.9988808,0.0001564596,0.00014519,0.0003883977,0.0002441843,0.0001850178],"domain_scores_gemma":[0.9972985,0.0007950257,0.0002541911,0.0007051616,0.0006486228,0.0002984473],"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":[0.00003162297,0.00001241713,0.0003898242,0.0005720425,0.00001597785,0.00001537462,0.00002356391,0.0001354271,0.0001203325,0.0003889579,0.9969024,0.001392057],"study_design_scores_gemma":[0.00007737141,0.000009174471,0.002015465,0.0002064548,0.00001558206,0.00003748712,0.00007615256,0.0001520951,0.0001962773,0.0008191357,0.996376,0.0000189468],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004013821,0.00002544968,0.00003950496,0.0000354385,0.00001142101,0.000004940101,0.9989558,0.0003229614,0.0005642138],"genre_scores_gemma":[0.0001521051,0.00003251508,0.0001796628,0.00004347435,0.000003260125,0.00003878041,0.9989957,0.0001254678,0.0004290488],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8491599,"threshold_uncertainty_score":0.5046105,"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."}}