{"id":"W6887048552","doi":"10.15468/dl.kzxkv5","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; State (computer science); Range (aeronautics)","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":[0.0009458992,0.002007728,0.001506808,0.005000856,0.0009957952,0.002502462,0.002613656,0.001966824,0.164104],"category_scores_gemma":[0.006039923,0.0008892489,0.00118216,0.009944627,0.0004497748,0.002103619,0.002531973,0.00179994,0.2229814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001461182,"about_ca_system_score_gemma":0.002313802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0206609,"about_ca_topic_score_gemma":0.03328739,"domain_scores_codex":[0.9989666,0.0001412772,0.0001300229,0.0003662269,0.0002195031,0.0001763979],"domain_scores_gemma":[0.9975897,0.0006972963,0.0002296269,0.0006022994,0.0006131116,0.0002678969],"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":[0.00003286449,0.00001199246,0.0004230006,0.0005594343,0.0000140054,0.00001544256,0.00002281943,0.0001272551,0.0001305086,0.0003707149,0.9967929,0.001499085],"study_design_scores_gemma":[0.00007589217,0.00001045337,0.001918853,0.0001906249,0.00001489265,0.00003663549,0.00006955815,0.000148817,0.0002011617,0.0007924185,0.9965219,0.00001866401],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000047393,0.00002733801,0.00004050443,0.00003407417,0.00001248429,0.000005296198,0.9988003,0.0003703469,0.000662243],"genre_scores_gemma":[0.0001690614,0.0000341274,0.0001947151,0.00004643942,0.00000379823,0.00004490486,0.9988704,0.0001485114,0.0004880504],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.835896,"threshold_uncertainty_score":0.5489825,"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."}}