{"id":"W6905667302","doi":"10.15468/dl.k9kwgx","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":[0.0009358364,0.002084767,0.001471062,0.004725554,0.00097603,0.002404715,0.002661485,0.001979256,0.1481907],"category_scores_gemma":[0.005907834,0.0009031089,0.001246779,0.009229288,0.0004403904,0.002183586,0.002511281,0.001843054,0.2038799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001481835,"about_ca_system_score_gemma":0.002321824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02121245,"about_ca_topic_score_gemma":0.03513362,"domain_scores_codex":[0.9989397,0.0001427453,0.0001347976,0.0003848377,0.0002238271,0.0001740658],"domain_scores_gemma":[0.9975753,0.0006863341,0.000227248,0.0006414422,0.0005895437,0.0002801557],"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":[0.00003183182,0.00001241973,0.0004152982,0.0005026899,0.00001447067,0.00001411649,0.00002020345,0.0001311773,0.0001200057,0.0003367077,0.9969531,0.001447998],"study_design_scores_gemma":[0.0000840085,0.00001164129,0.002074491,0.0001844079,0.00001558243,0.0000396186,0.00006943031,0.0001768831,0.000214403,0.0007977688,0.996312,0.00001963947],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005192501,0.00002807603,0.00004154385,0.00003609123,0.00001392899,0.000005623211,0.9988146,0.000393514,0.0006147138],"genre_scores_gemma":[0.0001658932,0.00003246359,0.0001892172,0.00004660794,0.00000372359,0.00004214481,0.9989134,0.0001384005,0.000468131],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8518093,"threshold_uncertainty_score":0.4957473,"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."}}