{"id":"W6905966609","doi":"10.15468/dl.qlyi5c","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); 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":[0.0009571521,0.001853501,0.001480002,0.00466205,0.0009975871,0.002577961,0.002896506,0.002049742,0.1425543],"category_scores_gemma":[0.006326032,0.0008597207,0.001127387,0.009316687,0.0004258237,0.002524012,0.002640778,0.002059241,0.2054014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001795634,"about_ca_system_score_gemma":0.002583109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02603952,"about_ca_topic_score_gemma":0.04671803,"domain_scores_codex":[0.9988674,0.0001538093,0.0001417634,0.0003758095,0.0002723029,0.0001888914],"domain_scores_gemma":[0.997349,0.0006752592,0.000239669,0.0007280554,0.0007201379,0.0002878234],"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":[0.00002451926,0.00001133858,0.0003752092,0.0003895578,0.0000116483,0.00001303,0.0000225623,0.0001144514,0.00008224229,0.000398397,0.9972183,0.001338748],"study_design_scores_gemma":[0.00006066494,0.000007275944,0.001789268,0.0001818913,0.00001085886,0.00003472407,0.00007643679,0.0001690115,0.0001662922,0.0007872815,0.9966995,0.00001674216],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005339867,0.0000305928,0.00005805527,0.00004482875,0.00001378477,0.000005940008,0.9984744,0.0004861077,0.0008328204],"genre_scores_gemma":[0.0001793496,0.00003204115,0.000215386,0.00004265771,0.000003313512,0.00003792446,0.9988127,0.000150787,0.0005258498],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8574457,"threshold_uncertainty_score":0.4768918,"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."}}