{"id":"W6905765706","doi":"10.15468/dl.u9w2vh","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; Range (aeronautics); Key (lock)","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":[0.001003801,0.002141114,0.001712739,0.005268609,0.0009968479,0.00273417,0.002920567,0.001959502,0.1700009],"category_scores_gemma":[0.006241206,0.0009999312,0.001270446,0.01033556,0.0004379775,0.002431542,0.002711974,0.001934802,0.2302855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001540811,"about_ca_system_score_gemma":0.002433399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02004208,"about_ca_topic_score_gemma":0.03448315,"domain_scores_codex":[0.9988328,0.0001617951,0.0001617222,0.0004166256,0.0002404778,0.0001865522],"domain_scores_gemma":[0.9973847,0.0007250347,0.0002513131,0.0006782007,0.0006628226,0.0002978611],"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":[0.00003479256,0.00001100882,0.0003512437,0.0006229302,0.00001653753,0.00001455908,0.0000214287,0.0001151702,0.0001181027,0.0003778055,0.9968852,0.001431107],"study_design_scores_gemma":[0.00007496087,0.00000887229,0.0016551,0.0001858196,0.00001538244,0.00003560897,0.00005710025,0.0001244246,0.0001751036,0.0007944094,0.9968544,0.00001873455],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003578463,0.00002787944,0.00004005201,0.00003074179,0.0000113993,0.000004968983,0.9989052,0.0003361311,0.0006079249],"genre_scores_gemma":[0.0001423687,0.00003746552,0.0001868815,0.00004982654,0.000003626481,0.00004092183,0.9989064,0.0001437801,0.0004888583],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8299991,"threshold_uncertainty_score":0.5687095,"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."}}