{"id":"W6924724058","doi":"10.15468/dl.rtnpwq","title":"Occurrence Download","year":2024,"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","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":[0.0009937751,0.001990971,0.001675918,0.005210772,0.001046038,0.002894002,0.00295587,0.001989578,0.1918488],"category_scores_gemma":[0.006492316,0.001002508,0.001264069,0.01095047,0.0004477531,0.002582486,0.002728826,0.002077621,0.2735634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001652416,"about_ca_system_score_gemma":0.00250507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02122253,"about_ca_topic_score_gemma":0.03360476,"domain_scores_codex":[0.9989471,0.0001386373,0.0001400503,0.0003788884,0.0002258804,0.0001694649],"domain_scores_gemma":[0.9975637,0.0007036805,0.0002089965,0.0006392884,0.0006213783,0.0002629982],"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":[0.00002640312,0.000009654511,0.0003185433,0.0005919779,0.00001398123,0.00001369319,0.00002399013,0.0001070179,0.00009966627,0.0003745669,0.9968208,0.001599577],"study_design_scores_gemma":[0.00005458589,0.000006101793,0.001313359,0.0001827594,0.00001251135,0.00003069139,0.00006684438,0.0001173667,0.0001594594,0.0007257388,0.9973159,0.00001465687],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003225304,0.00002779267,0.00004910371,0.00003348617,0.0000111589,0.000005363242,0.9987054,0.0004215975,0.0007139106],"genre_scores_gemma":[0.0001409333,0.00004213794,0.0002319778,0.00004739621,0.000003395423,0.00004728741,0.9987364,0.0001922601,0.0005582126],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8081512,"threshold_uncertainty_score":0.6417983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}