{"id":"W6948546271","doi":"10.48689/734bad15-11c3-45ef-91c1-408d36e52f1e","title":"Aquatic Invasive Species of British Columbia","year":2020,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Wood and Agarwood Research","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Invasive species; Introduced species; Aquatic animal; Aquatic ecosystem; Aquatic environment; Aquatic plant","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":[0.0003023066,0.0009868169,0.0008279781,0.004126515,0.001444053,0.001386976,0.001498829,0.0005193994,0.02290468],"category_scores_gemma":[0.00243691,0.0005451327,0.0005347217,0.0133867,0.0002833845,0.0004838687,0.0008334424,0.0009990861,0.007142644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005637625,"about_ca_system_score_gemma":0.01213038,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9553148,"about_ca_topic_score_gemma":0.9764598,"domain_scores_codex":[0.9995383,0.00002262625,0.00004850415,0.0001199716,0.0001510715,0.0001195848],"domain_scores_gemma":[0.9978462,0.0002111127,0.000229628,0.0001591805,0.001295425,0.0002584718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00008831992,0.00001746507,0.02434591,0.0009991862,0.00008542442,0.00007579076,0.00008611897,0.000381596,0.0001270056,0.0004615991,0.9660638,0.007267931],"study_design_scores_gemma":[0.000146713,0.00001244009,0.2732278,0.001412328,0.0001529096,0.0001503256,0.0005837485,0.0008739813,0.0003933511,0.0005146672,0.7224689,0.00006285507],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001794454,0.0002787817,0.00002406913,0.00006220047,0.00001397542,0.000008235261,0.9959239,0.00004910565,0.001845258],"genre_scores_gemma":[0.009448927,0.0006503728,0.0001763131,0.00008229967,0.000008148762,0.00007343615,0.9854736,0.00003712768,0.004049707],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04468518,"threshold_uncertainty_score":0.08989662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05228627456777196,"score_gpt":0.295146768189918,"score_spread":0.242860493622146,"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."}}