{"id":"W6887160326","doi":"10.15468/dl.rs757m","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); Order (exchange); State (computer science)","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":[0.001157432,0.002042056,0.001730453,0.005259622,0.00112217,0.002951774,0.003132548,0.002108899,0.1796038],"category_scores_gemma":[0.006687046,0.001034555,0.001214308,0.0104785,0.0004757282,0.002607102,0.002762109,0.002155541,0.2485563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001649917,"about_ca_system_score_gemma":0.002472733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02100679,"about_ca_topic_score_gemma":0.03467701,"domain_scores_codex":[0.998816,0.0001578059,0.0001547485,0.0004156949,0.000266532,0.000189201],"domain_scores_gemma":[0.9973217,0.0007732681,0.0002416983,0.0007040558,0.000659249,0.0003000226],"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":[0.00002735215,0.00001004232,0.000321867,0.0005167238,0.00001431107,0.00001436111,0.00002340211,0.0001050598,0.000110308,0.0003903403,0.9971576,0.001308623],"study_design_scores_gemma":[0.00006319896,0.000006540549,0.001526969,0.0001831733,0.00001368897,0.00003426359,0.00006646453,0.0001249969,0.0001785095,0.0007776698,0.9970073,0.00001718912],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003337659,0.00002411969,0.00004866066,0.00003230469,0.00001118481,0.000004872727,0.9987978,0.0003788549,0.0006687719],"genre_scores_gemma":[0.0001380358,0.00003221231,0.0001991951,0.00004291753,0.000003223936,0.00004116313,0.9988977,0.0001803623,0.0004651795],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8203962,"threshold_uncertainty_score":0.6008346,"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."}}