{"id":"W6924783716","doi":"10.15468/dl.yjssnt","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Multidisciplinary Science and Engineering Research","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Taxon; Geodetic datum; Elevation (ballistics); Footprint; Coordinate system; Matching (statistics)","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003051045,0.0002638383,0.0003468358,0.0004098742,0.0004846177,0.0007343263,0.002406244,0.0003122399,0.001516866],"category_scores_gemma":[0.00341054,0.0002150067,0.0002133476,0.002210626,0.0002909786,0.001917832,0.001222808,0.000389454,0.8871025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002423274,"about_ca_system_score_gemma":0.0002510859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005956257,"about_ca_topic_score_gemma":0.00003578479,"domain_scores_codex":[0.9950995,0.0001049965,0.0007002904,0.0004498625,0.003137401,0.0005079808],"domain_scores_gemma":[0.9973935,0.0002621815,0.0002732995,0.001117565,0.0006343501,0.0003191096],"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":[0.00001902879,0.0000144629,0.001155766,0.00003072332,0.000007885784,0.000005130345,0.00004597323,0.0003178769,4.038437e-8,6.073446e-8,0.9957017,0.002701363],"study_design_scores_gemma":[0.0001466522,0.00003470991,0.001063144,0.000002034543,0.000007155449,0.000002790091,0.0003612886,0.000008656122,6.202958e-7,0.00001209398,0.9981275,0.0002333936],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001105703,0.000007178253,0.00001422363,0.000427406,0.001322292,0.0002474324,0.9966658,0.0001270161,0.00008293021],"genre_scores_gemma":[0.00001535508,0.00003967695,0.000001419669,0.00009233112,0.000001838062,0.000003891539,0.9998434,1.292086e-8,0.000002032284],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8855857,"threshold_uncertainty_score":0.9993959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09250483403206991,"score_gpt":0.3498212156198983,"score_spread":0.2573163815878283,"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."}}