{"id":"W6886967731","doi":"10.15468/dl.dy4gj4","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":"Download; Matching (statistics); Alien; Range (aeronautics); State (computer science)","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":[0.0009825152,0.001837278,0.001538325,0.005025168,0.0009786236,0.00247569,0.002686341,0.002046416,0.1557654],"category_scores_gemma":[0.005677077,0.000861281,0.00120066,0.009967803,0.0004609975,0.00217303,0.002433709,0.0019119,0.2261438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001533053,"about_ca_system_score_gemma":0.002303166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0203572,"about_ca_topic_score_gemma":0.03299933,"domain_scores_codex":[0.9990128,0.0001388813,0.0001229517,0.0003351455,0.0002189056,0.0001713048],"domain_scores_gemma":[0.997609,0.000672366,0.0002261103,0.00062483,0.000600102,0.0002675566],"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":[0.00002961813,0.00001239339,0.0004249572,0.0005615877,0.00001555729,0.00001532123,0.00002550911,0.0001462453,0.0001428106,0.0004026085,0.9966317,0.001591693],"study_design_scores_gemma":[0.00006264299,0.000008242966,0.001832464,0.0001888621,0.0000142747,0.00003292175,0.00007491167,0.0001432733,0.000190993,0.0007242258,0.9967104,0.0000167769],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004630019,0.00002742301,0.00004234885,0.0000346774,0.00001169291,0.00000506267,0.9988518,0.0003359878,0.0006446122],"genre_scores_gemma":[0.0001686023,0.00003318185,0.0001969669,0.00004199747,0.000003386466,0.00004038241,0.9988989,0.0001326782,0.0004839029],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8442346,"threshold_uncertainty_score":0.5210871,"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."}}