{"id":"W6887279912","doi":"10.15468/dl.whzxv9","title":"Occurrence Download","year":2016,"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; Identification (biology)","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":[0.0008894251,0.001789046,0.001477996,0.004836923,0.0009789346,0.002427544,0.002807026,0.002096907,0.1305006],"category_scores_gemma":[0.006276903,0.0008063636,0.001190659,0.009399607,0.0004438178,0.002234677,0.002403153,0.001944127,0.1820667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001579895,"about_ca_system_score_gemma":0.002328054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02354227,"about_ca_topic_score_gemma":0.03643848,"domain_scores_codex":[0.9990201,0.0001399841,0.0001261194,0.0003343757,0.0002160834,0.0001633296],"domain_scores_gemma":[0.9976852,0.0006879694,0.0002176586,0.0005870334,0.0005686891,0.0002534347],"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":[0.00002909263,0.000012064,0.0005192283,0.0005165617,0.00001643823,0.0000173253,0.00002457773,0.000146164,0.0001032901,0.0003756017,0.9967597,0.001479988],"study_design_scores_gemma":[0.00008663443,0.00001008487,0.002561911,0.0002359468,0.00001759188,0.00004846977,0.0000922144,0.0002294922,0.0001878423,0.0008398527,0.9956712,0.00001886951],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005955427,0.000036272,0.0000443364,0.00004471457,0.0000143376,0.000005319858,0.9988487,0.0003619199,0.0005849459],"genre_scores_gemma":[0.0001941448,0.00003666676,0.0001646354,0.00004500632,0.000003896047,0.00003799897,0.9989843,0.0001101432,0.0004232814],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8694994,"threshold_uncertainty_score":0.4365679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734962626846364,"score_gpt":0.227796013577581,"score_spread":0.2104463873091174,"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."}}