{"id":"W6942945711","doi":"10.15468/dl.ftwe6h","title":"Occurrence Download","year":2024,"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":[0.0009176461,0.001841735,0.001568883,0.00502252,0.001060924,0.002971384,0.002790686,0.001862943,0.2007034],"category_scores_gemma":[0.006264453,0.0009285281,0.001354005,0.009802617,0.0004160229,0.002597862,0.002818642,0.001918479,0.2814438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001458306,"about_ca_system_score_gemma":0.002353057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02040907,"about_ca_topic_score_gemma":0.03219265,"domain_scores_codex":[0.9989445,0.0001295472,0.0001327737,0.000379372,0.0002269452,0.0001868307],"domain_scores_gemma":[0.9975374,0.0006486392,0.0002037805,0.0006845774,0.0006691591,0.0002564196],"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":[0.00002835796,0.000009350312,0.0004275143,0.0005149206,0.00001497711,0.00001621634,0.00002592318,0.0001233108,0.0001197256,0.0003886019,0.9964361,0.001895057],"study_design_scores_gemma":[0.00005081946,0.000006641125,0.001586242,0.0001558787,0.00001261962,0.00003307633,0.00007578631,0.0001544029,0.0001671648,0.0007707269,0.9969708,0.00001586443],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004744524,0.00003101048,0.00006597656,0.00004419959,0.00001732588,0.000006069083,0.9982167,0.0006693277,0.0009019494],"genre_scores_gemma":[0.0001938892,0.00004172242,0.0002657673,0.00005385243,0.000004950397,0.00004580695,0.9984571,0.0002533313,0.000683555],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7992966,"threshold_uncertainty_score":0.6714198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}