{"id":"W4395389682","doi":"10.15468/dl.7v6rp9","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Computer science; World Wide Web","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":[0.0008409751,0.002076466,0.001496698,0.00446582,0.0009661696,0.002447328,0.002764853,0.002119476,0.1235966],"category_scores_gemma":[0.004826684,0.0008664758,0.001154079,0.008856672,0.0004196793,0.002253116,0.002264974,0.002008087,0.1815107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00161539,"about_ca_system_score_gemma":0.002086616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02431288,"about_ca_topic_score_gemma":0.03976056,"domain_scores_codex":[0.9990157,0.0001288762,0.0001203784,0.0003335865,0.0002389412,0.0001625109],"domain_scores_gemma":[0.9980926,0.0004984217,0.0001776508,0.0004901523,0.0005035372,0.000237653],"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":[0.00002846105,0.00001374952,0.0003811509,0.0003822998,0.0000135535,0.0000155435,0.0000188049,0.0001426279,0.00009519762,0.0003232272,0.997324,0.001261341],"study_design_scores_gemma":[0.00009178295,0.000009597032,0.002290413,0.000154911,0.00001366988,0.00004617236,0.00007650936,0.0002879837,0.0002136457,0.0008119236,0.995985,0.00001838359],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000578509,0.00002764336,0.00004558885,0.00003861946,0.00001139467,0.000005745813,0.998749,0.0004312637,0.0006328924],"genre_scores_gemma":[0.0001836458,0.00002763672,0.0001776993,0.00004031336,0.000003390637,0.00003548608,0.9990232,0.0001214445,0.0003872564],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8764034,"threshold_uncertainty_score":0.4134718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01089755290457145,"score_gpt":0.2074791423433098,"score_spread":0.1965815894387384,"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."}}