{"id":"W6887166954","doi":"10.15468/dl.qzvmzg","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; Range (aeronautics); Identification (biology)","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":[0.0009455529,0.001971638,0.001619207,0.005034678,0.001025169,0.00263697,0.002773462,0.00198263,0.1821377],"category_scores_gemma":[0.005957408,0.0009573408,0.001137634,0.009999545,0.000431513,0.002434239,0.002534963,0.001923903,0.2354793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001619763,"about_ca_system_score_gemma":0.002291021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01975788,"about_ca_topic_score_gemma":0.03391232,"domain_scores_codex":[0.9989367,0.0001470481,0.0001391921,0.0003826995,0.000218695,0.0001756559],"domain_scores_gemma":[0.9976236,0.0006769456,0.0002299709,0.0005825644,0.0006125685,0.0002742315],"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":[0.00002923109,0.00001029081,0.0003255466,0.0005593998,0.0000133148,0.00001338677,0.00002003045,0.000106799,0.0001085215,0.0003915815,0.997098,0.001323848],"study_design_scores_gemma":[0.00006980632,0.000008228109,0.001626989,0.0001921866,0.00001363868,0.0000338801,0.00005889403,0.000116919,0.0001646601,0.0007708521,0.9969264,0.00001754147],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003595743,0.0000278052,0.00003828583,0.00003169312,0.00001121622,0.000004575138,0.9988967,0.0002782225,0.0006753621],"genre_scores_gemma":[0.0001497798,0.00003727279,0.0001833071,0.00004852399,0.000003721573,0.00004207543,0.9988463,0.0001393766,0.0005497893],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8178623,"threshold_uncertainty_score":0.6093112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}