{"id":"W6924543869","doi":"10.15468/dl.r77pp5","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":"Download; Matching (statistics); Range (aeronautics); Reference data; Feature (linguistics)","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":[0.0009766011,0.001966312,0.001567793,0.004909544,0.0009609895,0.002443809,0.002809373,0.002160367,0.1530694],"category_scores_gemma":[0.006311134,0.0009015966,0.001161806,0.009158634,0.0004629291,0.002241578,0.00239689,0.002042267,0.1988544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001640107,"about_ca_system_score_gemma":0.002299448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02199915,"about_ca_topic_score_gemma":0.03403069,"domain_scores_codex":[0.9989852,0.0001441433,0.0001270172,0.0003515522,0.0002292552,0.0001626956],"domain_scores_gemma":[0.9974608,0.0007803988,0.000231576,0.0006518593,0.0005877449,0.0002874348],"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":[0.00003018269,0.00001299451,0.0003978524,0.0005071153,0.0000141615,0.000015649,0.00002362848,0.0001427267,0.0001069709,0.0003255434,0.997035,0.001388205],"study_design_scores_gemma":[0.00009169876,0.00001080436,0.002288263,0.0002193151,0.00001672282,0.00004540591,0.00008983626,0.0002334688,0.0002163839,0.0007700652,0.995999,0.00001908397],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004995837,0.00002700424,0.00004222605,0.00003983412,0.00001210689,0.000005987077,0.998886,0.0003810499,0.0005557604],"genre_scores_gemma":[0.0001787106,0.0000301404,0.0001836277,0.00004317783,0.000003280193,0.00004614105,0.9989296,0.0001330279,0.0004523807],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8469306,"threshold_uncertainty_score":0.512068,"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."}}