{"id":"W6961905035","doi":"10.15468/dl.mtqihi","title":"Occurrence Download","year":2018,"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); Data set; Set (abstract data type)","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":[0.0009751288,0.002028398,0.001551117,0.00526193,0.0009901974,0.00256212,0.003035302,0.002018339,0.1348976],"category_scores_gemma":[0.005722156,0.0008646243,0.001157328,0.010331,0.0004519926,0.002297227,0.002604668,0.002078545,0.192086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001625028,"about_ca_system_score_gemma":0.002399625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02368618,"about_ca_topic_score_gemma":0.03974712,"domain_scores_codex":[0.9989888,0.0001334744,0.0001279727,0.0003396511,0.0002357481,0.0001742457],"domain_scores_gemma":[0.9976422,0.0006361667,0.000233302,0.0006459818,0.0005692148,0.000273025],"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":[0.0000273607,0.00001191498,0.0004133871,0.0004744192,0.00001537084,0.00001632952,0.00002623796,0.000140978,0.0001066002,0.0004119693,0.9969512,0.001404195],"study_design_scores_gemma":[0.00006822069,0.000007553354,0.001903991,0.0001751844,0.000014285,0.00004081365,0.00007826106,0.0001718118,0.0001908187,0.0007883066,0.9965435,0.0000172245],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005146981,0.00002849114,0.0000528084,0.00003697652,0.00001273915,0.000005224932,0.9987271,0.0004355225,0.000649569],"genre_scores_gemma":[0.0001595416,0.0000300257,0.0001872511,0.00003454221,0.000003041426,0.00003596507,0.9989937,0.0001394537,0.0004166039],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8651024,"threshold_uncertainty_score":0.4512776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}