{"id":"W6906121143","doi":"10.15468/dl.xn2crg","title":"Occurrence Download","year":2015,"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); Key (lock); 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":[0.001014211,0.001892202,0.001546388,0.005322243,0.0008565746,0.002589483,0.002769131,0.001945733,0.1549121],"category_scores_gemma":[0.006446474,0.000873572,0.001165925,0.009914026,0.0004200748,0.002201327,0.00261076,0.001859195,0.2111584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001673081,"about_ca_system_score_gemma":0.002482018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02315309,"about_ca_topic_score_gemma":0.03755338,"domain_scores_codex":[0.9989102,0.0001473272,0.0001547718,0.0003541242,0.0002493245,0.0001841833],"domain_scores_gemma":[0.9973286,0.0007158352,0.0002853302,0.0006943812,0.0006634855,0.0003122192],"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":[0.00003001745,0.00001024998,0.0004013782,0.0005739242,0.00001683123,0.00001428154,0.0000220702,0.0001245635,0.0001054159,0.0003897657,0.9968645,0.001446901],"study_design_scores_gemma":[0.00007019837,0.000007858587,0.002007825,0.0002102741,0.00001527939,0.0000363508,0.00006043565,0.0001419875,0.0001795021,0.0007561679,0.9964973,0.00001675982],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003774709,0.00002769913,0.00003671219,0.00003252297,0.00000951007,0.000004864366,0.9989408,0.0003212278,0.0005890103],"genre_scores_gemma":[0.0001545055,0.00003425176,0.0001560678,0.00004203117,0.00000310808,0.00003268768,0.9990563,0.0001092468,0.0004118537],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8450879,"threshold_uncertainty_score":0.5182325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02668786630850237,"score_gpt":0.2410469455301918,"score_spread":0.2143590792216895,"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."}}