{"id":"W6906005316","doi":"10.15468/dl.r4dd97","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":"Matching (statistics); Download; Alien; Range (aeronautics)","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":[0.0009568002,0.001961675,0.001582952,0.004946418,0.001001057,0.002532177,0.002764278,0.002032803,0.165083],"category_scores_gemma":[0.006096787,0.0009412742,0.001259605,0.01037093,0.0004435211,0.002283199,0.002578998,0.001932128,0.2259586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001590136,"about_ca_system_score_gemma":0.002384927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02266875,"about_ca_topic_score_gemma":0.03562453,"domain_scores_codex":[0.9989095,0.0001479184,0.0001447564,0.0003878696,0.000225206,0.0001847963],"domain_scores_gemma":[0.9975066,0.0007110649,0.0002353109,0.0006375641,0.0006435618,0.0002659964],"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":[0.00003355127,0.00001135763,0.0003720456,0.000600985,0.00001514051,0.000014397,0.00002248221,0.0001196499,0.0001293895,0.0003843543,0.9968647,0.001431829],"study_design_scores_gemma":[0.00007372525,0.000009548225,0.0018758,0.0002051456,0.00001524936,0.00003394168,0.00006813141,0.0001258477,0.0001931098,0.0007644409,0.9966165,0.00001860628],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003984643,0.00002576438,0.00003717218,0.00003184254,0.00001105047,0.000004888929,0.9989328,0.0003138139,0.0006029186],"genre_scores_gemma":[0.0001510116,0.00003669788,0.0001818407,0.00004628405,0.000003377816,0.00004260846,0.9989114,0.0001406586,0.0004861368],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.834917,"threshold_uncertainty_score":0.5522575,"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."}}