{"id":"W6905931924","doi":"10.15468/dl.qb2n7t","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":"Matching (statistics); Download; Alien; Range (aeronautics); State (computer science)","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":[0.0009047493,0.002001013,0.001499996,0.004741108,0.0009309567,0.002368434,0.002586632,0.001921296,0.1595919],"category_scores_gemma":[0.005674267,0.0009007929,0.001185504,0.009459714,0.0004357774,0.0021225,0.002466768,0.001767684,0.2131788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001436913,"about_ca_system_score_gemma":0.002248328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02026545,"about_ca_topic_score_gemma":0.03224267,"domain_scores_codex":[0.9990289,0.0001298971,0.00012475,0.0003506207,0.0001997096,0.0001661096],"domain_scores_gemma":[0.9977442,0.000648903,0.0002160154,0.0005760717,0.0005565815,0.0002582177],"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":[0.00003439293,0.00001208351,0.0004180682,0.0005630269,0.00001494145,0.0000152177,0.0000219768,0.0001401681,0.0001316604,0.0003580401,0.9967579,0.001532632],"study_design_scores_gemma":[0.00008258888,0.0000111593,0.002044376,0.0001926043,0.00001585018,0.00003874678,0.00007078323,0.000167523,0.0002071047,0.000784243,0.9963661,0.00001895078],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004795253,0.00002634329,0.00004048002,0.00003197601,0.00001202965,0.000005066133,0.9988623,0.0003702871,0.0006036529],"genre_scores_gemma":[0.0001699472,0.00003319406,0.0001929572,0.00004503457,0.000003417681,0.00004118197,0.9989167,0.0001432419,0.0004542574],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8404081,"threshold_uncertainty_score":0.5338879,"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."}}