{"id":"W6962195901","doi":"10.15468/dl.sj43n5","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); Software; Data set","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":[0.001101391,0.001979889,0.00162572,0.005363431,0.001007465,0.002722258,0.002883652,0.002003856,0.1623713],"category_scores_gemma":[0.006490151,0.0009746853,0.00113412,0.01052804,0.000462503,0.002344899,0.002522245,0.002015284,0.2254955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001591776,"about_ca_system_score_gemma":0.002437094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02201372,"about_ca_topic_score_gemma":0.03611443,"domain_scores_codex":[0.9988581,0.0001545784,0.0001512859,0.0003955472,0.0002587393,0.0001817017],"domain_scores_gemma":[0.9972555,0.0007906911,0.0002598737,0.0007162675,0.0006596722,0.0003179952],"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":[0.00002685212,0.00001057266,0.000360627,0.0005020414,0.00001455893,0.00001457092,0.00002291207,0.000115687,0.0001078096,0.0003700727,0.9971818,0.001272462],"study_design_scores_gemma":[0.00007084302,0.00000754488,0.001828951,0.0001881675,0.00001441538,0.00003823065,0.00007375063,0.0001441087,0.0001802369,0.0007437087,0.9966927,0.00001733754],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003693001,0.00002359649,0.00004271436,0.00003227812,0.00001078884,0.000004557766,0.9989408,0.0003306628,0.0005777469],"genre_scores_gemma":[0.0001418999,0.00003028955,0.0001757106,0.00003792753,0.000003166838,0.00003664124,0.9990146,0.0001396371,0.0004201357],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8376287,"threshold_uncertainty_score":0.5431862,"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."}}