{"id":"W6924659358","doi":"10.15468/dl.urdg4n","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":[0.001016026,0.002019369,0.001612701,0.004790332,0.0009819438,0.002511472,0.002845439,0.002005671,0.1532681],"category_scores_gemma":[0.006009119,0.0009430566,0.001222132,0.009677736,0.0004567796,0.002279142,0.002594558,0.00208597,0.2122049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001616407,"about_ca_system_score_gemma":0.002363492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02322932,"about_ca_topic_score_gemma":0.03595337,"domain_scores_codex":[0.9990014,0.0001338655,0.0001283972,0.0003431499,0.0002255913,0.0001675899],"domain_scores_gemma":[0.9976249,0.0006748062,0.0002213192,0.0006398974,0.0005637329,0.0002752889],"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":[0.00003048798,0.0000113137,0.0003717354,0.0005486009,0.00001550414,0.00001564063,0.00002673314,0.0001338899,0.0001339304,0.0004083608,0.9968457,0.001458121],"study_design_scores_gemma":[0.00006971567,0.00000755317,0.00175756,0.0001858427,0.000014208,0.00003782319,0.00007414185,0.0001528031,0.0002021635,0.0007486479,0.996732,0.00001749121],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004150135,0.00002557775,0.00004928971,0.00003432438,0.0000119587,0.000005117863,0.9987992,0.0004228272,0.0006101723],"genre_scores_gemma":[0.0001546517,0.0000315225,0.0002079386,0.00004052235,0.00000300599,0.00003912775,0.9989489,0.0001665312,0.0004078744],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8467319,"threshold_uncertainty_score":0.5127329,"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."}}