{"id":"W6961642114","doi":"10.15468/dl.muufea","title":"Occurrence Download","year":2018,"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; Minor (academic)","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":[0.0008248857,0.001880494,0.001475061,0.004825694,0.001014542,0.002391714,0.002832926,0.00211179,0.1256888],"category_scores_gemma":[0.005637464,0.0007887126,0.001184417,0.009086025,0.0004360213,0.002291557,0.002427643,0.001962523,0.1802727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001542609,"about_ca_system_score_gemma":0.002147783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02225735,"about_ca_topic_score_gemma":0.03562988,"domain_scores_codex":[0.9990681,0.0001320463,0.0001135652,0.0003203561,0.0002097283,0.0001561416],"domain_scores_gemma":[0.9978657,0.0006076034,0.0001915228,0.0005690063,0.00052548,0.0002407152],"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":[0.00002724341,0.00001249729,0.0004604588,0.0004652121,0.00001494977,0.00001661642,0.00002335643,0.0001407883,0.000102092,0.0003365235,0.9968545,0.001545742],"study_design_scores_gemma":[0.00008058776,0.00001017176,0.002543295,0.000214223,0.00001623726,0.00004980979,0.0000917311,0.0002562009,0.0001963936,0.000823394,0.9956996,0.00001833345],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006905033,0.00004000059,0.00005243292,0.0000497064,0.00001613344,0.000006210636,0.998626,0.00047196,0.0006685953],"genre_scores_gemma":[0.0001998685,0.00003682319,0.000189207,0.00004702698,0.000004171498,0.00003985107,0.9989251,0.0001211788,0.0004367163],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8743112,"threshold_uncertainty_score":0.4204709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}