{"id":"W7100666723","doi":"","title":"Database of Vascular Plants of Canada (VASCAN): a community contributed taxonomic... 55 Database of Vascular Plants of Canada (VASCAN):","year":2016,"lang":"en","type":"article","venue":"","topic":"Historical Studies in Science","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"National database; Reference database; Online database; Vascular access","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":[0.000649796,0.001358868,0.001455314,0.02176423,0.003611283,0.003209739,0.002585495,0.0009530426,0.03530109],"category_scores_gemma":[0.005116325,0.0004249529,0.0005123914,0.05014938,0.0008791123,0.001191224,0.001713092,0.001024356,0.01177268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01115463,"about_ca_system_score_gemma":0.05602025,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9309387,"about_ca_topic_score_gemma":0.9539033,"domain_scores_codex":[0.999079,0.00003501973,0.00009852408,0.0001615122,0.0004242015,0.0002017331],"domain_scores_gemma":[0.9913971,0.0005648473,0.0006623447,0.0004631685,0.005641867,0.001270717],"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":[0.0003501149,0.00004068748,0.01297968,0.00634004,0.0001614557,0.0003835525,0.00146665,0.0006078276,0.004193795,0.004638328,0.8839107,0.08492716],"study_design_scores_gemma":[0.0000215231,0.000007120942,0.02485697,0.0006261088,0.0001142018,0.0001171994,0.0005432012,0.0001138898,0.0004644334,0.0003930209,0.9727018,0.00004042368],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004015841,0.003739383,0.0005376498,0.0001811346,0.00005625714,0.00003755737,0.9771808,0.0007491125,0.01350221],"genre_scores_gemma":[0.0158304,0.005297656,0.00373444,0.0001993512,0.00002700154,0.00007134784,0.9689307,0.0003089503,0.005600146],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06906134,"threshold_uncertainty_score":0.138936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03387711048754731,"score_gpt":0.2079255171130041,"score_spread":0.1740484066254568,"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."}}