{"id":"W6924483856","doi":"10.15468/dl.llnwfm","title":"Occurrence Download","year":2019,"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; Set (abstract data type)","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":[0.0009238093,0.001891433,0.001581042,0.005826237,0.001005872,0.002564859,0.002778468,0.001924862,0.1545508],"category_scores_gemma":[0.005768212,0.0008763683,0.001124001,0.01133478,0.0004554455,0.002177691,0.002673745,0.001905161,0.2070388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001693354,"about_ca_system_score_gemma":0.002622585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0287718,"about_ca_topic_score_gemma":0.04922169,"domain_scores_codex":[0.998935,0.0001351198,0.0001398537,0.0003485369,0.0002475943,0.0001939396],"domain_scores_gemma":[0.9974759,0.0006511242,0.0002433022,0.0006612685,0.0006544747,0.0003139306],"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":[0.00003063059,0.00001049081,0.0003792593,0.0005522217,0.00001516192,0.00001634608,0.00002448629,0.0001112826,0.0001260221,0.0004029298,0.9969381,0.001393044],"study_design_scores_gemma":[0.00006566839,0.000007294114,0.001873498,0.0001910572,0.00001396314,0.00003865312,0.00007073472,0.0001176167,0.0001836662,0.0006996009,0.9967218,0.00001650817],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003943872,0.0000268687,0.00003590807,0.00003060894,0.00001004707,0.000004786035,0.9988945,0.0003270217,0.0006308529],"genre_scores_gemma":[0.0001485938,0.00003392344,0.0001550159,0.0000404428,0.000003074205,0.00003289946,0.999054,0.0001229923,0.0004089964],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8454492,"threshold_uncertainty_score":0.5170239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}