{"id":"W6961845513","doi":"10.15468/dl.ttwsta","title":"Occurrence Download","year":2020,"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; 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":[0.0009983986,0.001990444,0.00154669,0.004852773,0.0009229577,0.002347137,0.002963725,0.001974348,0.1477885],"category_scores_gemma":[0.005614736,0.0009283366,0.001137266,0.009868494,0.0004601394,0.002205295,0.002349576,0.001911442,0.1982136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001688792,"about_ca_system_score_gemma":0.002335945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02667627,"about_ca_topic_score_gemma":0.03996051,"domain_scores_codex":[0.9990274,0.0001268797,0.000127347,0.0003281612,0.0002261702,0.0001641073],"domain_scores_gemma":[0.9976966,0.0006124038,0.0002193134,0.0006230217,0.0005680635,0.0002806029],"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":[0.00002927672,0.00001109915,0.0003494527,0.0004565314,0.00001407775,0.0000147328,0.00002303587,0.0001420293,0.0001145191,0.000371333,0.997068,0.001406008],"study_design_scores_gemma":[0.00007377601,0.000008139959,0.002089753,0.0001658429,0.00001484132,0.00003928871,0.00007437068,0.0001831614,0.0002218419,0.0007126615,0.9963977,0.00001860936],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004224632,0.00002187955,0.00004239799,0.00003184024,0.00001046233,0.000004661981,0.9989188,0.0003558013,0.0005720219],"genre_scores_gemma":[0.0001538716,0.00002566482,0.0001727355,0.00003404705,0.000002678974,0.00003457754,0.9990377,0.0001242044,0.0004145505],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8522115,"threshold_uncertainty_score":0.4944019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}