{"id":"W4396100673","doi":"10.15468/dl.fuz6uy","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Computer science; World Wide Web","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":[0.0009087065,0.001828948,0.001481591,0.004311076,0.001015455,0.002858537,0.002746847,0.001904159,0.1843689],"category_scores_gemma":[0.006013446,0.0008858544,0.001303057,0.008620612,0.0004026986,0.00251015,0.002610397,0.001972948,0.2671264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001517175,"about_ca_system_score_gemma":0.002302036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0206295,"about_ca_topic_score_gemma":0.03286024,"domain_scores_codex":[0.9989845,0.0001280626,0.0001281603,0.0003637717,0.0002179125,0.000177592],"domain_scores_gemma":[0.9976666,0.000626207,0.0001878018,0.0006397447,0.0006284602,0.0002512979],"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":[0.00002763266,0.00000935711,0.0003845098,0.0004411993,0.00001289729,0.00001494676,0.00002360542,0.0001195813,0.0001018901,0.0003892154,0.9967783,0.001696772],"study_design_scores_gemma":[0.00005547015,0.000006264051,0.001530547,0.0001473572,0.00001090056,0.00003126684,0.00007013415,0.0001829495,0.0001750487,0.0008403413,0.9969348,0.00001491042],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004476279,0.00002708767,0.00006689816,0.00004411342,0.00001517122,0.000006307874,0.9982326,0.0006801413,0.0008829085],"genre_scores_gemma":[0.0001873734,0.0000370241,0.0002647254,0.0000551006,0.000004456996,0.00004691183,0.9985246,0.0002442565,0.0006355378],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.815631,"threshold_uncertainty_score":0.6167755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02484850230871555,"score_gpt":0.2268166199254699,"score_spread":0.2019681176167544,"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."}}