{"id":"W6962289334","doi":"10.15468/dl.xvpfn7","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":"Geodetic datum; Coordinate system; Matching (statistics); Download; Range (aeronautics); Geographic coordinate conversion","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":[0.0009286494,0.001892854,0.001566845,0.004721868,0.001058428,0.002991155,0.002812862,0.001890725,0.1956725],"category_scores_gemma":[0.006125738,0.0009373588,0.001388833,0.009488155,0.000417174,0.002630395,0.00285095,0.001979153,0.2827766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001471916,"about_ca_system_score_gemma":0.002339718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02036075,"about_ca_topic_score_gemma":0.03226269,"domain_scores_codex":[0.9989421,0.0001288764,0.0001338736,0.0003802535,0.0002293747,0.0001856499],"domain_scores_gemma":[0.9975355,0.0006456558,0.0001993523,0.0006992788,0.000656617,0.0002635811],"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":[0.00002929313,0.000009338285,0.0004107966,0.0005095621,0.00001457755,0.00001626693,0.00002564474,0.0001198413,0.0001263613,0.0003882079,0.9964725,0.001877562],"study_design_scores_gemma":[0.00005061518,0.000006533929,0.001568433,0.0001537431,0.00001215195,0.00003387559,0.00007305804,0.0001574257,0.0001777519,0.0007818599,0.9969684,0.00001604185],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004612192,0.00003035847,0.00006979761,0.00004467486,0.00001741379,0.000006109902,0.9981862,0.0007157718,0.0008834726],"genre_scores_gemma":[0.0001927542,0.00004178776,0.0002777217,0.00005684831,0.000004912551,0.00004591715,0.9984616,0.0002741356,0.0006443617],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8043275,"threshold_uncertainty_score":0.6545897,"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."}}