{"id":"W6887268684","doi":"10.15468/dl.tudqzu","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":"Download; Matching (statistics); Alien; Range (aeronautics); Data set","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":[0.0009745641,0.00202169,0.00162265,0.00475411,0.001028552,0.002586098,0.002851586,0.002199113,0.1644782],"category_scores_gemma":[0.006098622,0.0009187742,0.001280891,0.008854965,0.000442694,0.002335771,0.002514631,0.001979454,0.2270631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001625261,"about_ca_system_score_gemma":0.002292131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02267012,"about_ca_topic_score_gemma":0.03546356,"domain_scores_codex":[0.9990299,0.0001351409,0.0001157714,0.0003450713,0.0002116661,0.0001624814],"domain_scores_gemma":[0.9975795,0.0007502266,0.0002050356,0.0006084455,0.0005955952,0.0002612216],"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":[0.00002770537,0.00001182106,0.0003917,0.0005617858,0.00001436031,0.00001594079,0.00002334402,0.0001246866,0.0001196259,0.0003408952,0.996968,0.001400232],"study_design_scores_gemma":[0.00007645627,0.00000954132,0.002032672,0.0002214142,0.00001617406,0.00003977439,0.00007961559,0.0001905073,0.000209839,0.0007994665,0.9963053,0.00001917148],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004508923,0.00002960421,0.00004689048,0.00003897662,0.0000124672,0.000005990538,0.9987376,0.0004453164,0.000638029],"genre_scores_gemma":[0.0001799172,0.00003527931,0.0002095185,0.00005176527,0.000003876462,0.00004975845,0.9988245,0.0001683827,0.0004768911],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8355218,"threshold_uncertainty_score":0.5502343,"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."}}