{"id":"W6943714483","doi":"10.15468/dl.zfv6n4","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":[0.0009651511,0.002201921,0.001658522,0.00504116,0.0009937226,0.002673912,0.002825259,0.00191708,0.1671141],"category_scores_gemma":[0.00584899,0.0009920289,0.001253778,0.01002456,0.0004314159,0.002468097,0.002698335,0.001978984,0.2381871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001499618,"about_ca_system_score_gemma":0.002347287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01994498,"about_ca_topic_score_gemma":0.03353521,"domain_scores_codex":[0.9988506,0.000158614,0.0001512141,0.0004080126,0.0002451305,0.0001863443],"domain_scores_gemma":[0.9974306,0.0006867636,0.0002406006,0.000693731,0.000654529,0.0002936491],"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":[0.00003333413,0.00001106766,0.0003235543,0.0005118877,0.00001450523,0.00001288975,0.00001934006,0.0001097207,0.0001124636,0.0003492309,0.9971095,0.001392502],"study_design_scores_gemma":[0.00007314302,0.000008765406,0.001633338,0.000163268,0.00001409638,0.00003304366,0.00005442317,0.0001287501,0.0001754781,0.0007643778,0.9969333,0.00001783459],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003581001,0.00002508718,0.00004000293,0.00003060878,0.00001121464,0.000004875256,0.9988721,0.0003592821,0.0006210234],"genre_scores_gemma":[0.0001358043,0.00003295333,0.0001849224,0.0000479873,0.000003647971,0.00003881429,0.998906,0.0001474894,0.0005024165],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8328859,"threshold_uncertainty_score":0.5590522,"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."}}