{"id":"W6905829235","doi":"10.15468/dl.ymv8tp","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); State (computer science)","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":[0.0009232686,0.00201917,0.001498043,0.004682107,0.000981589,0.002450986,0.002634954,0.001918432,0.1527703],"category_scores_gemma":[0.005953642,0.0008924539,0.001220049,0.009342906,0.0004267002,0.002254717,0.002493342,0.001831986,0.2123199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00146643,"about_ca_system_score_gemma":0.002266374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02024226,"about_ca_topic_score_gemma":0.0336376,"domain_scores_codex":[0.9989603,0.0001425697,0.0001304655,0.0003788128,0.0002151679,0.0001727054],"domain_scores_gemma":[0.9976578,0.0006623049,0.000216484,0.0006137104,0.0005886924,0.0002610332],"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":[0.00003242283,0.00001181678,0.0004097865,0.0005111083,0.00001423277,0.00001459827,0.00002043849,0.0001296042,0.0001212307,0.0003573044,0.9968612,0.001516314],"study_design_scores_gemma":[0.00007307353,0.00001072756,0.001947177,0.0001844807,0.00001503969,0.00003899378,0.00006947522,0.0001639952,0.0002030905,0.000804292,0.9964708,0.00001891439],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005124113,0.00002841928,0.00004610627,0.00003547295,0.00001343272,0.000005312462,0.9987537,0.0004112518,0.0006551316],"genre_scores_gemma":[0.0001679544,0.00003338473,0.0001998436,0.00004550428,0.000003640573,0.00004083687,0.9988787,0.0001470019,0.0004832011],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8472297,"threshold_uncertainty_score":0.5110675,"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."}}