{"id":"W6924980360","doi":"10.15468/dl.ypepub","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Knowledge Management and Technology","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; Alien; Range (aeronautics); State (computer science)","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":[0.0009369079,0.00197192,0.001531842,0.004757714,0.0009422106,0.002390231,0.002667809,0.001972581,0.1469217],"category_scores_gemma":[0.0059441,0.0008658395,0.00120706,0.008839915,0.0004292263,0.002024733,0.00230878,0.001888083,0.1932974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001531907,"about_ca_system_score_gemma":0.002313859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01987582,"about_ca_topic_score_gemma":0.03335452,"domain_scores_codex":[0.9990265,0.0001365838,0.0001273475,0.0003537272,0.000204105,0.0001517727],"domain_scores_gemma":[0.9977816,0.0006705796,0.0002069838,0.0005422423,0.0005586554,0.0002399701],"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":[0.00003269433,0.00001358645,0.0003965373,0.0006117909,0.00001616719,0.0000159516,0.00002180566,0.0001422739,0.0001285611,0.0003773592,0.9968011,0.001442125],"study_design_scores_gemma":[0.00008985678,0.00001058658,0.001936472,0.0002056195,0.00001755274,0.00003935429,0.0000693384,0.0001992155,0.0002151923,0.0008704253,0.9963272,0.00001922262],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004788257,0.00002921807,0.00004692049,0.00003655423,0.00001189503,0.000006726535,0.9987717,0.0004082213,0.0006408098],"genre_scores_gemma":[0.0001808199,0.00003808005,0.0002360975,0.00005089103,0.000003688499,0.00005519677,0.9988023,0.0001538148,0.000479023],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8530784,"threshold_uncertainty_score":0.4915019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04984258725276213,"score_gpt":0.2904566985699519,"score_spread":0.2406141113171898,"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."}}