{"id":"W6887206155","doi":"10.15468/dl.s8w4wv","title":"Occurrence Download","year":2022,"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); Identification (biology)","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":[0.0009378493,0.002042443,0.001564603,0.004976833,0.0009770748,0.002539278,0.002621642,0.001944643,0.1695521],"category_scores_gemma":[0.006074859,0.0009028878,0.00120801,0.009988345,0.0004376207,0.002154229,0.002488435,0.001832495,0.2247906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001496985,"about_ca_system_score_gemma":0.002287888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02094613,"about_ca_topic_score_gemma":0.03290036,"domain_scores_codex":[0.9989337,0.0001450651,0.0001367711,0.0003835627,0.0002214355,0.0001793031],"domain_scores_gemma":[0.9975317,0.0007282547,0.0002418392,0.0006263374,0.0005973721,0.0002743885],"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":[0.0000313473,0.00001115368,0.0003962561,0.0005205386,0.00001387188,0.00001375946,0.00002101087,0.0001250851,0.0001114417,0.0003482014,0.9969882,0.001419131],"study_design_scores_gemma":[0.0000790349,0.00001042087,0.00194384,0.0001927617,0.0000154811,0.00003599209,0.00006789495,0.0001626465,0.000192126,0.0008081223,0.9964725,0.00001902142],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004197942,0.00002498553,0.00003750113,0.00003190414,0.00001153576,0.000004893106,0.9988914,0.0003566833,0.0005991784],"genre_scores_gemma":[0.0001615803,0.00003376494,0.0001855942,0.00004550055,0.000003714644,0.00004248964,0.9988902,0.0001514891,0.0004855379],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8304479,"threshold_uncertainty_score":0.5672082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}