{"id":"W6962760431","doi":"10.15468/dl.xd8eju","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":[0.00115865,0.001906814,0.001638287,0.005324525,0.00104299,0.00268886,0.002956965,0.002047739,0.1670234],"category_scores_gemma":[0.006552391,0.0009772615,0.001139313,0.01056173,0.0004691583,0.002339935,0.002671547,0.002063251,0.225073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001684743,"about_ca_system_score_gemma":0.002470773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02189982,"about_ca_topic_score_gemma":0.03518192,"domain_scores_codex":[0.9988496,0.0001568174,0.0001529544,0.0003915434,0.0002631472,0.0001858431],"domain_scores_gemma":[0.9972498,0.0007780521,0.0002703038,0.0007073673,0.0006854267,0.0003089849],"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":[0.00002779873,0.00001049294,0.0003682238,0.0005339097,0.0000149458,0.00001477079,0.00002507022,0.0001164955,0.0001117967,0.0004149776,0.9970625,0.001298977],"study_design_scores_gemma":[0.00006889649,0.000006939247,0.001805574,0.000192249,0.00001408316,0.00003526128,0.00007305144,0.0001275705,0.000173961,0.0007718338,0.996713,0.00001754743],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003548282,0.00002342292,0.00004453863,0.00003279484,0.0000105335,0.000004868344,0.998901,0.0003318685,0.0006154868],"genre_scores_gemma":[0.0001483479,0.00003133421,0.000190706,0.00004126271,0.000003137534,0.00004260099,0.9989478,0.0001530506,0.0004417551],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8329766,"threshold_uncertainty_score":0.5587491,"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."}}