{"id":"W6943760309","doi":"10.15468/dl.rjkgre","title":"Occurrence Download","year":2021,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geodetic datum; Coordinate system; Matching (statistics); Download; Range (aeronautics); Geographic coordinate conversion","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":[0.0009427821,0.001839669,0.001596787,0.004937421,0.001086662,0.002991951,0.002814435,0.001910062,0.1862506],"category_scores_gemma":[0.006397777,0.0009155217,0.001370447,0.009385011,0.0004207063,0.002632057,0.002825598,0.001994497,0.2675733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001453765,"about_ca_system_score_gemma":0.002353944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01970311,"about_ca_topic_score_gemma":0.03236531,"domain_scores_codex":[0.9988906,0.0001376602,0.0001406218,0.0004007987,0.0002367057,0.0001936037],"domain_scores_gemma":[0.9974676,0.0006818992,0.000209083,0.0007049093,0.0006742538,0.0002623704],"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":[0.00003007851,0.0000100769,0.0004524525,0.0005603718,0.00001535182,0.00001751418,0.00002756711,0.0001289927,0.0001268905,0.0004176169,0.9961887,0.002024427],"study_design_scores_gemma":[0.00004998814,0.000006755591,0.001580545,0.0001645104,0.00001248153,0.00003506421,0.00007783306,0.0001589479,0.0001719071,0.0007948618,0.9969309,0.00001628367],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005005352,0.00003340961,0.00007135164,0.00004719268,0.00001848578,0.000006552613,0.9981682,0.0006832738,0.0009213383],"genre_scores_gemma":[0.000196591,0.00004294415,0.0002829609,0.00005622691,0.000005006448,0.00004736718,0.9984664,0.0002454668,0.0006571749],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8137494,"threshold_uncertainty_score":0.6230702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}