{"id":"W6962588007","doi":"10.15468/dl.w262fj","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); Range (aeronautics); Download; Data set; Set (abstract data type)","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":[0.0009058754,0.002017589,0.001614207,0.005220207,0.0009368146,0.00255571,0.002651948,0.001897265,0.1750627],"category_scores_gemma":[0.005682767,0.0009601104,0.001120754,0.01040604,0.0004352593,0.002270983,0.002595684,0.001829228,0.2342626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001477695,"about_ca_system_score_gemma":0.00224579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01862019,"about_ca_topic_score_gemma":0.03183277,"domain_scores_codex":[0.9989855,0.0001353991,0.0001326389,0.0003646126,0.0002119637,0.0001699104],"domain_scores_gemma":[0.9975924,0.0006621251,0.0002441465,0.0006225154,0.0006042165,0.0002745825],"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":[0.00003415607,0.00001102795,0.0003792939,0.0006150955,0.00001554001,0.00001436032,0.00002338316,0.0001184773,0.0001373991,0.0004054864,0.996732,0.001513696],"study_design_scores_gemma":[0.00006931655,0.000008276746,0.001703646,0.0001809739,0.00001450213,0.00003366059,0.00005730662,0.0001166928,0.000187532,0.0007498165,0.9968609,0.00001749284],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003864161,0.00002631563,0.00003935252,0.00002804072,0.00001021953,0.000004459287,0.9988845,0.0003278731,0.0006407643],"genre_scores_gemma":[0.0001555985,0.00003598279,0.0001915424,0.00004505762,0.000003390968,0.00004033753,0.9988627,0.0001554825,0.0005098911],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8249372,"threshold_uncertainty_score":0.5856432,"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."}}