{"id":"W6918314656","doi":"10.5886/zw3aqw","title":"Database of Vascular Plants of Canada (VASCAN)","year":2010,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Checklist; Taxon; Directory; Biodiversity; Vascular plant; Service (business); Public domain; Hybrid","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009179758,0.0003744024,0.0009590944,0.0001747628,0.00004835948,0.00004055724,0.003204204,0.0002883388,0.02251174],"category_scores_gemma":[0.0002598163,0.0003662325,0.00008805688,0.0002010613,0.0001387237,0.0001889052,0.001286928,0.0006165328,0.00140582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001123575,"about_ca_system_score_gemma":0.005357337,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9564491,"about_ca_topic_score_gemma":0.9950075,"domain_scores_codex":[0.9972197,0.000123749,0.0006489128,0.0005873162,0.001019993,0.0004003265],"domain_scores_gemma":[0.99576,0.0001050431,0.0008654159,0.002913872,0.0001338207,0.0002218479],"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":[0.00006635425,0.0001242761,0.000008041161,0.0001254324,0.0002991933,0.0001230797,0.00001357208,0.000003209427,0.001758016,1.368237e-7,0.9968815,0.0005972058],"study_design_scores_gemma":[0.0006915571,0.00002482096,0.00006444742,0.0003552447,0.0002639329,0.00001433322,0.00004276492,0.000002288587,0.01290775,5.923241e-7,0.9852754,0.0003569031],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.007116795,0.0001248767,1.333054e-7,0.000004696546,0.0003437031,0.0007142851,0.9907029,3.575891e-7,0.0009922821],"genre_scores_gemma":[0.00007775868,0.00003348893,0.0007420521,0.00001040515,0.00006270601,0.000013974,0.998731,0.00005892709,0.0002696431],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0385584,"threshold_uncertainty_score":0.9998789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02795500359334692,"score_gpt":0.2884613187144131,"score_spread":0.2605063151210662,"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."}}