{"id":"W6924534352","doi":"10.15468/dl.pxwu9y","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":[0.0009312929,0.001852815,0.001531344,0.004822475,0.001059748,0.002939963,0.002743813,0.001858573,0.1966623],"category_scores_gemma":[0.006225159,0.000911039,0.001395092,0.009556917,0.0004152368,0.002566216,0.002798093,0.001946986,0.2837121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001442373,"about_ca_system_score_gemma":0.002318204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02054555,"about_ca_topic_score_gemma":0.03289045,"domain_scores_codex":[0.9989364,0.0001305681,0.0001339275,0.0003804606,0.0002302518,0.0001883184],"domain_scores_gemma":[0.9974824,0.000660586,0.0002019005,0.0007090711,0.0006836103,0.0002624451],"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":[0.00002929497,0.000009554658,0.0004286848,0.0005001566,0.00001449298,0.00001633809,0.00002652278,0.0001174946,0.0001230705,0.0003889139,0.9964525,0.001893011],"study_design_scores_gemma":[0.00005009099,0.000006712212,0.001628088,0.0001556384,0.00001215339,0.00003397857,0.00007719158,0.000159724,0.0001786946,0.0007905737,0.9968912,0.00001593008],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004700226,0.00002898513,0.00006867669,0.00004368355,0.00001728582,0.000006042785,0.9981973,0.0007035458,0.0008875147],"genre_scores_gemma":[0.0001920628,0.0000396286,0.0002722576,0.0000545055,0.000004958195,0.00004495642,0.9984708,0.0002693065,0.0006515772],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8033377,"threshold_uncertainty_score":0.6579009,"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."}}