{"id":"W6905763009","doi":"10.15468/dl.mrhzh7","title":"Occurrence Download","year":2023,"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); Alien; Range (aeronautics)","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":[0.00103885,0.00197831,0.001621326,0.005207201,0.001033303,0.002640084,0.002840827,0.002153465,0.1533271],"category_scores_gemma":[0.005893365,0.0008963157,0.001259129,0.009907461,0.0004485026,0.002265877,0.002569265,0.002036469,0.2249413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001639308,"about_ca_system_score_gemma":0.002414168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02168743,"about_ca_topic_score_gemma":0.03456813,"domain_scores_codex":[0.9989161,0.0001457473,0.0001342823,0.0003780072,0.0002401278,0.0001856327],"domain_scores_gemma":[0.9973823,0.0007429667,0.0002391008,0.0006884037,0.0006535875,0.000293561],"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":[0.0000313212,0.00001247126,0.0004123091,0.0005615241,0.00001512904,0.00001646044,0.00002423089,0.0001262661,0.0001342463,0.0003762928,0.9967663,0.001523362],"study_design_scores_gemma":[0.00007038206,0.000009205558,0.002031825,0.0002077378,0.00001514452,0.00003809369,0.00007836642,0.000145783,0.0002047345,0.0007385846,0.9964415,0.00001847187],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004250608,0.00002631384,0.0000408733,0.00003492686,0.00001165127,0.000005309256,0.9988852,0.0003576468,0.000595662],"genre_scores_gemma":[0.0001493633,0.00003164707,0.0001857732,0.00004225398,0.000003216241,0.00004018602,0.9989769,0.0001329314,0.0004377288],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.846673,"threshold_uncertainty_score":0.5129302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}