{"id":"W6943634637","doi":"10.15468/dl.x5g6w6","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)","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":[0.001040656,0.002063906,0.001637532,0.005557665,0.000954689,0.002608171,0.002735466,0.002011037,0.1688863],"category_scores_gemma":[0.006103816,0.0009166756,0.001237178,0.01018937,0.0004459296,0.002388318,0.002847407,0.001940773,0.2386837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001610711,"about_ca_system_score_gemma":0.002375765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02069783,"about_ca_topic_score_gemma":0.03545624,"domain_scores_codex":[0.9988542,0.0001518638,0.00014679,0.0003967094,0.0002548601,0.0001955905],"domain_scores_gemma":[0.9973949,0.0006825328,0.0002482067,0.0006987713,0.0006604657,0.0003150754],"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":[0.00003048666,0.000009797898,0.0003360694,0.0005261513,0.00001568382,0.00001319201,0.00002093742,0.0001114414,0.000121348,0.000356524,0.9970307,0.0014276],"study_design_scores_gemma":[0.00006771788,0.000008142121,0.001794631,0.0001843944,0.00001429052,0.00003381891,0.000060788,0.0001317127,0.0001939892,0.0007700367,0.9967231,0.00001725318],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003498485,0.0000258737,0.00003799178,0.000030512,0.00001046809,0.000004866775,0.998901,0.0003643178,0.000589933],"genre_scores_gemma":[0.0001459162,0.00003113741,0.0001714264,0.00004312399,0.000003469255,0.0000362631,0.9990131,0.000145818,0.0004098219],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8311136,"threshold_uncertainty_score":0.5649811,"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."}}