{"id":"W6906108583","doi":"10.15468/dl.yvys6q","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); Set (abstract data type); Data set","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":[0.0009461833,0.002037294,0.001583524,0.004852386,0.00100661,0.002432527,0.002902311,0.002163301,0.1426682],"category_scores_gemma":[0.005429433,0.0009148795,0.001229316,0.009231957,0.0004684187,0.002149859,0.002609256,0.002044655,0.2101535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001668796,"about_ca_system_score_gemma":0.002312375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02326206,"about_ca_topic_score_gemma":0.03908616,"domain_scores_codex":[0.9990742,0.00011988,0.0001149692,0.0003255814,0.0002106989,0.0001546411],"domain_scores_gemma":[0.9978521,0.0005870655,0.0001988778,0.0005905661,0.0005205983,0.0002508812],"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":[0.0000298605,0.00001267449,0.0004612582,0.0005779689,0.00001634919,0.00001761313,0.00002952934,0.0001601962,0.0001420028,0.0004177968,0.9964091,0.001725593],"study_design_scores_gemma":[0.00007214831,0.000008500479,0.00203972,0.0001997733,0.00001462901,0.00004200627,0.00008329648,0.0001792369,0.0001980505,0.0007859425,0.9963583,0.00001839435],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004953233,0.00002958345,0.00005046747,0.00003620846,0.00001274325,0.000005525153,0.9987751,0.000438321,0.0006025428],"genre_scores_gemma":[0.0001602064,0.0000318097,0.0002235318,0.00004120884,0.000003070064,0.0000419381,0.9989415,0.0001490719,0.0004077107],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8573318,"threshold_uncertainty_score":0.4772726,"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."}}