{"id":"W6943603758","doi":"10.15468/dl.ysopwi","title":"Occurrence Download","year":2019,"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; Download; Matching (statistics); Snow; Range (aeronautics); North American Datum of 1927","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":[0.001047208,0.001970757,0.001807217,0.006828503,0.001114221,0.003256021,0.00290777,0.001813602,0.255083],"category_scores_gemma":[0.007200432,0.001047739,0.001370757,0.01351637,0.000434788,0.002898371,0.003104562,0.001834767,0.3453521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001644587,"about_ca_system_score_gemma":0.002541574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02166255,"about_ca_topic_score_gemma":0.03375709,"domain_scores_codex":[0.9987655,0.0001439703,0.0001781884,0.0004404337,0.0002659881,0.0002059781],"domain_scores_gemma":[0.996983,0.0008104118,0.000276629,0.0007873673,0.0008176342,0.0003249012],"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":[0.00002753899,0.00000717482,0.0003179459,0.0005896887,0.00001368156,0.00001307193,0.000024042,0.00008138332,0.00009363903,0.0003522938,0.9966788,0.001800736],"study_design_scores_gemma":[0.00004669019,0.000006292576,0.00140315,0.0001767165,0.00001202723,0.00002796627,0.00006703081,0.00008725423,0.000132551,0.0006155118,0.9974104,0.00001442891],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002544741,0.00002234265,0.00004034927,0.0000263006,0.00001157387,0.000004440275,0.9988361,0.0003649582,0.0006684439],"genre_scores_gemma":[0.0001237172,0.00003928446,0.0002080343,0.00004039923,0.000004210194,0.00004232806,0.9986909,0.0002165072,0.0006346978],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.744917,"threshold_uncertainty_score":0.8533376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}