{"id":"W6924646945","doi":"10.15468/dl.nz5xhd","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":"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":[0.0009107761,0.001907842,0.001593627,0.005081539,0.001070309,0.003013499,0.002729305,0.001873721,0.188485],"category_scores_gemma":[0.006172182,0.0009354807,0.001365743,0.009815001,0.0004121539,0.002623057,0.002880617,0.001939277,0.2777009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001417696,"about_ca_system_score_gemma":0.002316694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01931087,"about_ca_topic_score_gemma":0.03165899,"domain_scores_codex":[0.9988886,0.0001348764,0.0001391666,0.0004021085,0.0002424662,0.0001928263],"domain_scores_gemma":[0.9974788,0.0006531056,0.0002085781,0.0007151043,0.0006754877,0.0002689206],"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":[0.00002993595,0.000009960931,0.0004563038,0.0005419697,0.00001546626,0.00001726352,0.000027905,0.0001290401,0.0001322892,0.0003928372,0.9962041,0.002043026],"study_design_scores_gemma":[0.00004870417,0.000006851343,0.001673665,0.0001587561,0.00001261487,0.00003582794,0.00007804599,0.0001584786,0.0001785455,0.0007420764,0.9968899,0.00001645999],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005103654,0.00003277515,0.00007013578,0.00004395125,0.00001802825,0.000006147548,0.9981737,0.000700453,0.0009038479],"genre_scores_gemma":[0.0001895497,0.00004146324,0.0002737243,0.00005236739,0.000004848763,0.00004391331,0.998499,0.0002508852,0.0006441204],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.811515,"threshold_uncertainty_score":0.6305451,"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."}}