{"id":"W6887074713","doi":"10.15468/dl.n6ke9t","title":"Occurrence Download","year":2023,"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; UniProt","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":[0.000999146,0.002031826,0.00160571,0.004634159,0.001026443,0.002540399,0.002953392,0.002125106,0.1486973],"category_scores_gemma":[0.005868156,0.0009460989,0.001209766,0.009024492,0.0004485601,0.002321111,0.002565013,0.002076146,0.2069722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00167973,"about_ca_system_score_gemma":0.002380647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02426868,"about_ca_topic_score_gemma":0.0390207,"domain_scores_codex":[0.99901,0.0001306334,0.0001220502,0.0003467698,0.0002252177,0.0001652895],"domain_scores_gemma":[0.9977071,0.0006531806,0.0002108829,0.0006006296,0.0005637211,0.0002643979],"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":[0.00003027662,0.00001178529,0.0003773078,0.0005301026,0.00001507024,0.00001615751,0.00002501851,0.000128166,0.0001323372,0.0004038217,0.9969316,0.001398282],"study_design_scores_gemma":[0.00007186949,0.00000784153,0.001801148,0.0001864331,0.00001440449,0.00003889615,0.00007093207,0.0001696479,0.0002136642,0.0007683319,0.9966385,0.00001823083],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004364738,0.00002630925,0.0000508608,0.00003634525,0.00001163548,0.000005408105,0.998709,0.0004616923,0.0006551095],"genre_scores_gemma":[0.0001579954,0.00002985268,0.0002069771,0.00004327406,0.000002979894,0.00004098802,0.9989386,0.0001670035,0.0004123131],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8513027,"threshold_uncertainty_score":0.497442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}