{"id":"W6905683107","doi":"10.15468/dl.kvxd2v","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); Data set; Set (abstract data type)","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":[0.001151819,0.001943204,0.001721461,0.005474607,0.001069893,0.002952537,0.003004614,0.00209254,0.1847371],"category_scores_gemma":[0.006999717,0.001015864,0.001199438,0.01100119,0.0004628577,0.002582724,0.002737495,0.002100304,0.2453993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001630074,"about_ca_system_score_gemma":0.002448167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02019549,"about_ca_topic_score_gemma":0.03251323,"domain_scores_codex":[0.9988232,0.0001601851,0.0001615804,0.0004138021,0.0002557996,0.0001853796],"domain_scores_gemma":[0.9971886,0.0008406516,0.0002631452,0.0007227371,0.0006831946,0.0003016462],"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":[0.00002825308,0.000009975979,0.0003441757,0.000582179,0.00001544665,0.00001534475,0.0000252698,0.0001135271,0.000113354,0.000422202,0.9969481,0.001382179],"study_design_scores_gemma":[0.00005996291,0.000006390019,0.001501506,0.0001936204,0.00001403279,0.00003386942,0.00006730556,0.0001166458,0.0001641406,0.0007717111,0.997054,0.00001679444],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003211495,0.00002485698,0.00004784907,0.00003253093,0.00001105988,0.000004684621,0.9988596,0.0003519179,0.000635349],"genre_scores_gemma":[0.0001439347,0.00003580658,0.0002068201,0.00004485796,0.000003377206,0.00004226412,0.9988623,0.0001812235,0.0004794949],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8152629,"threshold_uncertainty_score":0.6180071,"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."}}