{"id":"W6943006835","doi":"10.15468/dl.u9vwab","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); Alien; The Internet","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":[0.0009953555,0.001947648,0.001572866,0.004667388,0.001065023,0.002632739,0.002763963,0.002187627,0.1592206],"category_scores_gemma":[0.00625174,0.0008739175,0.001284156,0.008764519,0.0004446895,0.002512054,0.002575838,0.002051397,0.2355242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001530328,"about_ca_system_score_gemma":0.002328868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02030241,"about_ca_topic_score_gemma":0.03381206,"domain_scores_codex":[0.9989146,0.0001613356,0.0001315036,0.0003887668,0.0002314837,0.0001723265],"domain_scores_gemma":[0.9973007,0.0007752483,0.0002215027,0.0007328485,0.0006882975,0.0002815185],"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":[0.00002878136,0.00001201385,0.0003801699,0.0004968392,0.00001294412,0.00001446797,0.00002087353,0.000117666,0.0001031289,0.0003323871,0.9970978,0.001382884],"study_design_scores_gemma":[0.00007179842,0.000009658856,0.001822455,0.0002025165,0.00001376921,0.0000357042,0.0000757835,0.0001767204,0.000183178,0.0008279576,0.9965622,0.00001819102],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004682889,0.0000301421,0.0000468969,0.00004557705,0.00001483655,0.000006441505,0.9986706,0.0004493153,0.0006894283],"genre_scores_gemma":[0.0001654325,0.00003463347,0.0002073481,0.00005179961,0.000004279765,0.00004616873,0.9988353,0.0001533414,0.0005018688],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8407794,"threshold_uncertainty_score":0.532646,"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."}}