{"id":"W6905975707","doi":"10.15468/dl.z22g65","title":"Occurrence Download","year":2023,"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); Upload; 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":[0.0009477685,0.002046314,0.001632078,0.004875739,0.0009714271,0.002506989,0.002882739,0.001998756,0.1535824],"category_scores_gemma":[0.005623043,0.0009494165,0.001201736,0.009854685,0.0004605445,0.002272696,0.002637425,0.002016112,0.2168454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001602944,"about_ca_system_score_gemma":0.002338305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02368853,"about_ca_topic_score_gemma":0.03772099,"domain_scores_codex":[0.9990304,0.0001257461,0.0001212882,0.0003349734,0.0002231025,0.0001646841],"domain_scores_gemma":[0.9977768,0.0006090163,0.0002096725,0.0005971487,0.00054734,0.0002599072],"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":[0.00002868184,0.00001101494,0.0003880785,0.0005423423,0.00001575045,0.00001509465,0.00002738757,0.0001405334,0.0001346287,0.0004075169,0.9967471,0.001541875],"study_design_scores_gemma":[0.00006792689,0.000007419225,0.001833097,0.0001830257,0.00001445187,0.00003775984,0.00007571695,0.0001569508,0.0002040674,0.0007614299,0.99664,0.00001821362],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004397313,0.00002762222,0.00005219349,0.00003368118,0.00001186333,0.000004997549,0.998726,0.0004625411,0.0006371819],"genre_scores_gemma":[0.0001623233,0.00003230824,0.0002120418,0.00004086167,0.000003039599,0.00003823965,0.9989048,0.0001784575,0.0004278713],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8464176,"threshold_uncertainty_score":0.5137843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}