{"id":"W6924899175","doi":"10.15468/dl.wvdvqt","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); Range (aeronautics); Data set; Confidentiality","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":[0.0009687573,0.001905828,0.001632639,0.005166687,0.0009584182,0.002658924,0.00271911,0.002014332,0.1693239],"category_scores_gemma":[0.005848097,0.0009104962,0.0011248,0.01014761,0.0004270629,0.002419016,0.00252249,0.001955632,0.2311579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001545389,"about_ca_system_score_gemma":0.002185575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01848307,"about_ca_topic_score_gemma":0.03103126,"domain_scores_codex":[0.9989961,0.0001357113,0.0001282445,0.0003536907,0.00022011,0.000166223],"domain_scores_gemma":[0.9976058,0.0006880033,0.0002368121,0.0006175649,0.000571334,0.0002805137],"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":[0.00002802072,0.00001064126,0.0003628398,0.0005756183,0.00001501143,0.00001440529,0.0000231233,0.0001250387,0.0001150491,0.0003941481,0.9968822,0.001453988],"study_design_scores_gemma":[0.00006327825,0.000007016146,0.001656338,0.0001802206,0.00001306087,0.00003179686,0.00006398386,0.0001266104,0.0001692448,0.0007329255,0.9969394,0.00001623961],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003805992,0.00002652306,0.00004168209,0.00003154351,0.00001107448,0.000004614154,0.9988913,0.0003139638,0.0006412916],"genre_scores_gemma":[0.0001589958,0.00003522264,0.0001904783,0.00004300946,0.000003479557,0.00004067516,0.9988782,0.0001457658,0.0005041195],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8306761,"threshold_uncertainty_score":0.5664448,"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."}}