{"id":"W6962134690","doi":"10.15468/dl.u5rrt5","title":"Occurrence Download","year":2018,"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); Range (aeronautics); Data set; Confidentiality","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":[0.0009868894,0.001859067,0.001644816,0.005485993,0.0009147819,0.002654305,0.002838565,0.001861206,0.1720295],"category_scores_gemma":[0.006479662,0.0008941597,0.001113126,0.01090482,0.0004194597,0.002411628,0.002694518,0.001986837,0.2303496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001455251,"about_ca_system_score_gemma":0.002338601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01905587,"about_ca_topic_score_gemma":0.03266909,"domain_scores_codex":[0.9989405,0.0001388773,0.000136414,0.0003700501,0.0002407206,0.0001733804],"domain_scores_gemma":[0.9973093,0.0007166963,0.0002657194,0.000711412,0.0006951787,0.0003017221],"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":[0.00002460121,0.000009234079,0.0003921171,0.0005160036,0.00001541053,0.00001366136,0.00002395186,0.0001195539,0.00009382363,0.0003936914,0.996928,0.001469983],"study_design_scores_gemma":[0.00005787066,0.000006410126,0.001749336,0.0001869632,0.00001339805,0.00003136083,0.00006859851,0.0001285701,0.0001600835,0.0007996257,0.9967823,0.00001551281],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003794098,0.00002542002,0.00004746233,0.00003165191,0.00001100687,0.000004640204,0.9988048,0.0003882665,0.0006487542],"genre_scores_gemma":[0.0001650775,0.0000328296,0.0001994558,0.00003851134,0.00000351181,0.00003812519,0.9988569,0.0001681888,0.0004973648],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8279705,"threshold_uncertainty_score":0.5754961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}