{"id":"W6886917314","doi":"10.15468/dl.cesmtf","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":"Margaritifera; Population; Invasive species; Indo-Pacific","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":[0.0007234212,0.002766837,0.002238777,0.007204913,0.001393786,0.003984745,0.002869753,0.002730246,0.2793759],"category_scores_gemma":[0.005837068,0.0008818338,0.001787163,0.01133084,0.0004130388,0.004109439,0.003702655,0.001976194,0.4180283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001870612,"about_ca_system_score_gemma":0.002290831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02117491,"about_ca_topic_score_gemma":0.03831894,"domain_scores_codex":[0.9987625,0.0001395418,0.0001787281,0.0004387387,0.0002625775,0.0002180482],"domain_scores_gemma":[0.9978803,0.0004933639,0.0001803092,0.0004810392,0.0006873993,0.0002774558],"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":[0.00005911044,0.00001463836,0.0004030949,0.0007965396,0.00001529981,0.00003187574,0.00002651685,0.0001006067,0.0001266255,0.0004244853,0.9942063,0.003794848],"study_design_scores_gemma":[0.00006052386,0.00001358129,0.001377768,0.0002235362,0.00001503289,0.00006472434,0.00008712494,0.0002548888,0.0001474269,0.0009494887,0.9967858,0.00002010322],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008773453,0.0001192947,0.0001152695,0.00009082442,0.00003473943,0.0000123062,0.9955232,0.001704571,0.002311999],"genre_scores_gemma":[0.0002880702,0.00009956872,0.0003846799,0.0001127457,0.00001109212,0.0000441263,0.9973934,0.0003298762,0.001336562],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7206241,"threshold_uncertainty_score":0.9346055,"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."}}