{"id":"W6962084551","doi":"10.15468/dl.u8d6yd","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); 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":[0.0009395087,0.002022305,0.001518217,0.004502836,0.0009985289,0.002325873,0.002796114,0.00213967,0.1432275],"category_scores_gemma":[0.005276957,0.0009031585,0.001233747,0.009006586,0.0004523126,0.002209563,0.002503417,0.002008735,0.2082276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001660455,"about_ca_system_score_gemma":0.002298031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02375782,"about_ca_topic_score_gemma":0.03885703,"domain_scores_codex":[0.9990533,0.0001252649,0.0001180079,0.0003255445,0.0002173747,0.0001604593],"domain_scores_gemma":[0.9978817,0.0005761815,0.0001914058,0.000585995,0.000514938,0.0002496954],"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":[0.00003015365,0.0000125592,0.0003961857,0.000523571,0.00001517941,0.00001658592,0.00002802252,0.0001388766,0.0001461816,0.0004087723,0.9967797,0.001504195],"study_design_scores_gemma":[0.00006844809,0.000007634251,0.001839285,0.0001704862,0.00001326809,0.00003738886,0.00007600924,0.000167849,0.0002192345,0.0007360904,0.9966467,0.00001756289],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004994706,0.00002577383,0.00005118612,0.0000354199,0.00001231013,0.000005758147,0.9986714,0.0004549732,0.0006932364],"genre_scores_gemma":[0.0001677879,0.00002854167,0.0002139868,0.00004181246,0.000003001716,0.00004155958,0.9989146,0.0001580443,0.0004306453],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8567725,"threshold_uncertainty_score":0.4791439,"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."}}