{"id":"W6887257862","doi":"10.15468/dl.xir6e5","title":"Occurrence Download","year":2016,"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); Ornithology; Range (aeronautics); Data collection","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":[0.001065077,0.001950782,0.001564786,0.005762961,0.0008324113,0.002492547,0.002714319,0.001931753,0.1634939],"category_scores_gemma":[0.006348609,0.0008864133,0.001181363,0.01055376,0.0004129914,0.002306753,0.002766815,0.001919571,0.218354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001571442,"about_ca_system_score_gemma":0.002499212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02136258,"about_ca_topic_score_gemma":0.03723029,"domain_scores_codex":[0.9989024,0.0001472761,0.0001490289,0.0003650855,0.0002544748,0.0001816351],"domain_scores_gemma":[0.9972804,0.0007040555,0.000277967,0.0007171384,0.0006830027,0.0003374854],"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":[0.00002781196,0.000009804027,0.0003547652,0.0005334532,0.00001589598,0.00001286694,0.00002053698,0.0001172386,0.0001041905,0.0003437268,0.996998,0.001461781],"study_design_scores_gemma":[0.00007066366,0.000008139541,0.0019127,0.0002081936,0.00001445831,0.0000353012,0.00006026634,0.0001346878,0.0001705654,0.0007404764,0.9966277,0.00001688578],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003656888,0.00002668732,0.00003897117,0.00003123164,0.00001103563,0.000005206255,0.9989436,0.0003458517,0.0005609599],"genre_scores_gemma":[0.0001471006,0.00003481891,0.0001820321,0.00003965111,0.000003555016,0.00003786578,0.998996,0.0001334415,0.0004254598],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8365061,"threshold_uncertainty_score":0.5469415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734962626846364,"score_gpt":0.227796013577581,"score_spread":0.2104463873091174,"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."}}