{"id":"W6906027479","doi":"10.15468/dl.ykm4gq","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); Set (abstract data type); Data set","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":[0.001136275,0.002025149,0.001682556,0.005317206,0.001079572,0.002890253,0.003042541,0.002125978,0.168529],"category_scores_gemma":[0.006504649,0.001028444,0.001203712,0.01054569,0.000473085,0.002509965,0.002716206,0.002112611,0.2342949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001674393,"about_ca_system_score_gemma":0.002469903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02186092,"about_ca_topic_score_gemma":0.03611931,"domain_scores_codex":[0.9988143,0.0001604176,0.0001567093,0.0004138675,0.0002642381,0.0001904385],"domain_scores_gemma":[0.9972718,0.0007808688,0.0002559087,0.0007326425,0.0006439911,0.0003146636],"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":[0.00002748112,0.00001035893,0.0003333148,0.000506999,0.00001465126,0.00001478504,0.00002329998,0.0001114043,0.0001054146,0.0003924645,0.9972191,0.001240763],"study_design_scores_gemma":[0.00006968425,0.00000714195,0.001698519,0.0001874052,0.00001411223,0.0000370678,0.00007041421,0.0001342419,0.0001735939,0.0007835416,0.9968064,0.0000178604],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003449828,0.00002347647,0.00004441935,0.0000327829,0.00001104429,0.000004727312,0.9988828,0.0003528667,0.0006132796],"genre_scores_gemma":[0.0001371223,0.00003114573,0.0001837439,0.00004193503,0.000003135277,0.00003801003,0.9989702,0.0001548577,0.0004399221],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.831471,"threshold_uncertainty_score":0.5637857,"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."}}