{"id":"W6962272485","doi":"10.15468/dl.z77cms","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":"Download; Matching (statistics); Danaus; Range (aeronautics); UniProt","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":[0.0008482618,0.001753053,0.00150307,0.00467707,0.0009887193,0.002646232,0.002688493,0.001964006,0.1694717],"category_scores_gemma":[0.005688741,0.0008946766,0.001203342,0.01037791,0.0004148661,0.002308501,0.00243918,0.001961567,0.2230752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001636855,"about_ca_system_score_gemma":0.002330011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0214217,"about_ca_topic_score_gemma":0.03268139,"domain_scores_codex":[0.9990326,0.0001194969,0.000133576,0.0003360774,0.0002205545,0.0001576487],"domain_scores_gemma":[0.9978395,0.0006030694,0.0001961738,0.0005444,0.0005833312,0.0002335648],"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":[0.00002945036,0.00001053968,0.0003865232,0.0005480841,0.00001384127,0.00001575383,0.00002346982,0.0001257992,0.000115003,0.0003999061,0.9965295,0.001802047],"study_design_scores_gemma":[0.0000651069,0.000006771114,0.001640253,0.0001840051,0.00001272267,0.0000377598,0.00007532779,0.0001566129,0.0001871269,0.0007445712,0.9968736,0.00001594286],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000040819,0.00002681639,0.00005112531,0.00003788698,0.00001215857,0.000005070146,0.9987035,0.0004107135,0.0007119277],"genre_scores_gemma":[0.0001856465,0.00004011672,0.0002434343,0.00004833351,0.000003747927,0.00004489296,0.9987296,0.0001650779,0.0005390219],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8305283,"threshold_uncertainty_score":0.5669392,"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."}}