{"id":"W6906075229","doi":"10.15468/dl.yyqmty","title":"Occurrence Download","year":2019,"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); Period (music)","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":[0.001032801,0.002002868,0.001737829,0.005497994,0.001024138,0.002858568,0.002998383,0.00205236,0.1661125],"category_scores_gemma":[0.005987137,0.0009498242,0.001233935,0.0109842,0.0004467819,0.002449727,0.002692996,0.002095795,0.2378045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00161795,"about_ca_system_score_gemma":0.002386658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02160364,"about_ca_topic_score_gemma":0.0347789,"domain_scores_codex":[0.9988883,0.000148556,0.0001411006,0.0003907817,0.0002493633,0.0001819406],"domain_scores_gemma":[0.997538,0.0006926114,0.0002309214,0.000650876,0.0006109098,0.0002767621],"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":[0.00002732839,0.00001012544,0.0003423186,0.0005561413,0.00001575564,0.00001424738,0.00002306009,0.000112746,0.0001104297,0.0004205413,0.9969311,0.001436221],"study_design_scores_gemma":[0.00005762012,0.000006597424,0.001494234,0.0001852768,0.00001421036,0.00003373923,0.0000624368,0.0001224418,0.0001731289,0.0007747791,0.9970593,0.00001620882],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003650132,0.00003118104,0.00004837156,0.00003427772,0.00001180496,0.00000470502,0.9987767,0.000386843,0.0006696212],"genre_scores_gemma":[0.0001472602,0.00003783973,0.0001838476,0.00004338366,0.000003297807,0.00003698158,0.998898,0.0001636377,0.0004856653],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8338875,"threshold_uncertainty_score":0.5557017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}