{"id":"W6948685507","doi":"10.5281/zenodo.11226212","title":"Linked collectors and determiners for: University of Manitoba (WIN) - Lichen Collection.","year":2024,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lichen; Biodiversity; Natural (archaeology); Attribution","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":[0.001538149,0.001457206,0.001361272,0.004482117,0.00146008,0.002393068,0.00288442,0.001122358,0.1070018],"category_scores_gemma":[0.005835115,0.0009323775,0.000561687,0.009626171,0.0005484262,0.001217072,0.002091839,0.001896416,0.1044453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004959698,"about_ca_system_score_gemma":0.009648805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2083671,"about_ca_topic_score_gemma":0.3903011,"domain_scores_codex":[0.9988393,0.0001257648,0.0001047789,0.0003603969,0.0003666291,0.0002031035],"domain_scores_gemma":[0.9956649,0.0004260038,0.000451768,0.0009036472,0.002003236,0.0005504083],"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":[0.00003029948,0.00001016825,0.001351636,0.0002778145,0.00001656074,0.00001193137,0.0000461774,0.0000994678,0.0001821851,0.0006216281,0.995239,0.002113034],"study_design_scores_gemma":[0.00005000888,0.000004493628,0.005588899,0.0001975835,0.00001220936,0.00001505936,0.0001044364,0.0001028674,0.0003344904,0.0006867201,0.9928852,0.00001803232],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001138416,0.00002913098,0.00008826426,0.0000346687,0.00001669355,0.00001463456,0.9982709,0.0002244306,0.001207396],"genre_scores_gemma":[0.0004637367,0.00004077883,0.000522734,0.00003653464,0.000004837909,0.0001334313,0.9961975,0.0001555698,0.002444855],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2083671,"threshold_uncertainty_score":0.4143085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03320599769632047,"score_gpt":0.2268829654601624,"score_spread":0.193676967763842,"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."}}