{"id":"W6887292460","doi":"10.15468/dl.xt2t9g","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); 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":[0.001064758,0.00195635,0.001616909,0.005212411,0.000946944,0.00256018,0.002792299,0.002106017,0.1601208],"category_scores_gemma":[0.00634265,0.0009192689,0.001170481,0.009976883,0.0004582459,0.002156012,0.002496453,0.001944982,0.2081772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001481182,"about_ca_system_score_gemma":0.002286618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01909554,"about_ca_topic_score_gemma":0.03260081,"domain_scores_codex":[0.9989321,0.0001517254,0.0001436795,0.0003755321,0.0002224031,0.0001745368],"domain_scores_gemma":[0.9973342,0.0008142523,0.0002689494,0.0006710839,0.0006081634,0.0003033963],"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":[0.00003216592,0.0000120341,0.0004187259,0.0006634761,0.00001787129,0.00001687023,0.00002373534,0.0001354443,0.0001258779,0.0003712685,0.9968339,0.001348643],"study_design_scores_gemma":[0.00008998455,0.000009602957,0.00208469,0.0002302048,0.00001788471,0.00004192959,0.00007280191,0.0001442636,0.000193794,0.000775017,0.9963206,0.00001919746],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003771606,0.00002580425,0.00003577696,0.00003047534,0.00001018031,0.000004807033,0.9990844,0.0002693001,0.0005016475],"genre_scores_gemma":[0.0001613354,0.00003275396,0.0001704724,0.00004369438,0.000003601364,0.00004253714,0.9990193,0.0001171443,0.000409197],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8398792,"threshold_uncertainty_score":0.5356576,"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."}}