{"id":"W6906247575","doi":"10.15468/dl.y6qfa2","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":"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":[0.0009969387,0.001858062,0.001583095,0.005607598,0.0008969016,0.002443262,0.002608827,0.001824088,0.1644686],"category_scores_gemma":[0.006313688,0.00086661,0.001090328,0.01025686,0.0004168784,0.002377384,0.002652453,0.001767894,0.2196507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001538223,"about_ca_system_score_gemma":0.002308814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01940802,"about_ca_topic_score_gemma":0.03274177,"domain_scores_codex":[0.998912,0.0001420366,0.0001485371,0.0003792237,0.0002404964,0.0001777707],"domain_scores_gemma":[0.9972579,0.0007593443,0.0002777427,0.0006765465,0.0007007657,0.00032763],"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":[0.00003062449,0.00001010513,0.0003795784,0.0005906529,0.00001464807,0.00001563577,0.00002229249,0.0001160085,0.0001224385,0.0003727623,0.9967827,0.001542606],"study_design_scores_gemma":[0.0000650326,0.000008214311,0.0019122,0.0002097455,0.0000133021,0.00003659357,0.00006870992,0.0001266589,0.000180925,0.0007183577,0.9966432,0.00001716495],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003779493,0.00002510179,0.00003893837,0.00003089891,0.00001043521,0.00000516155,0.9989485,0.000317076,0.0005861176],"genre_scores_gemma":[0.0001619399,0.00003377929,0.0001802594,0.00004208514,0.000003611546,0.00003991455,0.9989586,0.0001365823,0.0004432312],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8355314,"threshold_uncertainty_score":0.5502022,"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."}}