{"id":"W6949161968","doi":"10.5281/zenodo.13387727","title":"Linked collectors and determiners for: University of Alberta Museum of Zoology Amphibian and Reptile Collection (UAMZ).","year":2024,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Amphibian; Biodiversity; Natural history; Single specimen; Citizen science","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":[],"consensus_categories":[],"category_scores_codex":[0.002123385,0.0020742,0.001850869,0.007141985,0.002051374,0.003918578,0.003846046,0.001865105,0.1170888],"category_scores_gemma":[0.009789902,0.001405181,0.0009271443,0.01530462,0.0007552814,0.00145695,0.002413203,0.002659879,0.103792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007667376,"about_ca_system_score_gemma":0.0177443,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5162742,"about_ca_topic_score_gemma":0.7017713,"domain_scores_codex":[0.998269,0.0001182374,0.0001505491,0.000469953,0.0006807903,0.0003115064],"domain_scores_gemma":[0.9924218,0.00108505,0.0005651502,0.001268242,0.003753699,0.0009060941],"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":[0.00001769519,0.000004867477,0.0006123451,0.0003151206,0.00001232026,0.000008493267,0.00003046264,0.00009428462,0.00007122218,0.0004128446,0.9968525,0.001567877],"study_design_scores_gemma":[0.00005506499,0.000002998836,0.004570916,0.0003407372,0.00001881723,0.00001893271,0.00009874788,0.00008551093,0.0002101192,0.0007807332,0.9937908,0.00002666143],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003501842,0.0000329058,0.00004547592,0.00002478524,0.00001594099,0.000008328899,0.9989883,0.0001269355,0.0007222512],"genre_scores_gemma":[0.000226844,0.00005064921,0.0003869771,0.00003157711,0.000004695219,0.00006145193,0.9974655,0.0001265971,0.001645775],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5162742,"threshold_uncertainty_score":0.9731491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02144306499621683,"score_gpt":0.2303161866368146,"score_spread":0.2088731216405978,"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."}}