{"id":"W6924557012","doi":"10.15468/dl.yvf9g2","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); Alien","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":[0.000975659,0.002003193,0.001591717,0.005065121,0.0009986189,0.00259247,0.002699715,0.002140457,0.1583462],"category_scores_gemma":[0.005942977,0.0008902891,0.001246799,0.009279163,0.0004421919,0.002287201,0.002519505,0.001985501,0.2199997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00161661,"about_ca_system_score_gemma":0.002310552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02294143,"about_ca_topic_score_gemma":0.03589074,"domain_scores_codex":[0.9989815,0.0001405738,0.000125851,0.0003605012,0.0002198731,0.0001716565],"domain_scores_gemma":[0.9975021,0.0007584091,0.0002219256,0.0006260967,0.0006127047,0.0002786529],"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":[0.00002722323,0.00001171375,0.0004006545,0.0005381741,0.00001407069,0.00001562413,0.00002275645,0.0001261951,0.0001133227,0.0003292839,0.9970029,0.001398135],"study_design_scores_gemma":[0.00007275096,0.000009636487,0.002070756,0.0002231236,0.00001573074,0.00004044357,0.00008534252,0.0001807037,0.0001978704,0.0007563727,0.9963282,0.00001895912],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004433113,0.00002848756,0.00004158194,0.00003863582,0.00001280495,0.000005688612,0.9988528,0.0003847592,0.0005908876],"genre_scores_gemma":[0.0001716161,0.00003474775,0.0001939096,0.00004957559,0.000003903776,0.00004597502,0.998886,0.0001424126,0.00047185],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8416538,"threshold_uncertainty_score":0.5297207,"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."}}