{"id":"W6905693748","doi":"10.15468/dl.qcam3x","title":"Occurrence Download","year":2019,"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; Listing (finance); Range (aeronautics); Process (computing)","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":["insufficient_payload"],"category_scores_codex":[0.0008103583,0.002770583,0.002480411,0.007298845,0.001414505,0.004290228,0.002410857,0.002418198,0.5203631],"category_scores_gemma":[0.005479207,0.001072159,0.001759901,0.01114754,0.0004140121,0.003433263,0.004246974,0.002101592,0.5961415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001735068,"about_ca_system_score_gemma":0.002730945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02909817,"about_ca_topic_score_gemma":0.04342839,"domain_scores_codex":[0.9989084,0.0001089214,0.0001461972,0.0003443856,0.000255105,0.0002370504],"domain_scores_gemma":[0.9973488,0.0006312589,0.0001943451,0.000567393,0.0008201501,0.0004379817],"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":[0.00003758354,0.00001194839,0.0002226924,0.0005612527,0.00001006082,0.00001651127,0.00002466256,0.00006855188,0.00008645462,0.0004458091,0.9949408,0.003573602],"study_design_scores_gemma":[0.00006205297,0.000008958387,0.001010112,0.0002033139,0.00001079433,0.00003000185,0.000066008,0.0001293846,0.000109613,0.0009847726,0.9973654,0.00001951952],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000391949,0.00005447847,0.00009633603,0.00006315781,0.00003280758,0.00001243267,0.9938518,0.002020773,0.003829075],"genre_scores_gemma":[0.0002350099,0.0001102085,0.0005552679,0.0001555767,0.00001317455,0.00006287928,0.994996,0.0008630756,0.003008937],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4796369,"threshold_uncertainty_score":0.6841438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}