{"id":"W6887202214","doi":"10.15468/dl.r3jhm9","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); 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":[0.001061594,0.001868262,0.001656839,0.005174325,0.0009299039,0.002507585,0.002724113,0.002026361,0.160374],"category_scores_gemma":[0.006519141,0.0008982256,0.001189873,0.01040389,0.0004369815,0.002175378,0.002414495,0.001928038,0.2123267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001534058,"about_ca_system_score_gemma":0.00230598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01990793,"about_ca_topic_score_gemma":0.03183993,"domain_scores_codex":[0.9989024,0.0001541142,0.000153708,0.0003698557,0.0002414492,0.0001783571],"domain_scores_gemma":[0.9972854,0.0008003155,0.0002594603,0.0006762558,0.0006766383,0.0003019429],"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":[0.00003254724,0.00001150977,0.0004068976,0.0006342308,0.00001733294,0.00001539343,0.00002261586,0.0001397325,0.0001243579,0.0003932435,0.9967249,0.001477313],"study_design_scores_gemma":[0.00008353838,0.000009000161,0.002058975,0.0002200775,0.00001628588,0.0000366954,0.00006687565,0.0001492518,0.0001877278,0.0008074029,0.9963457,0.00001847616],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003590095,0.0000258977,0.00003715789,0.00003082193,0.0000100545,0.000004862007,0.9990776,0.000278748,0.0004989635],"genre_scores_gemma":[0.0001536985,0.00003359314,0.0001726179,0.00004262707,0.0000034191,0.00004130214,0.9990419,0.0001180322,0.0003929221],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.839626,"threshold_uncertainty_score":0.5365044,"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."}}