{"id":"W6967269844","doi":"10.5061/dryad.gqnk98sph","title":"Repeated measure plant community data after fire in boreal forest, Taiga Shield, Northwest Territories, Canada, 1998-2018","year":2021,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Northwest Territories; Wilfrid Laurier University","funders":"","keywords":"Taiga; Transect; Boreal; Measure (data warehouse); Plant community; Fire history","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009650178,0.001141349,0.0009809802,0.002226234,0.001829224,0.001289549,0.002177335,0.0007241571,0.009672143],"category_scores_gemma":[0.002937282,0.000552746,0.0007520668,0.006646805,0.0005417877,0.0004799679,0.0009916112,0.0010101,0.005558379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006021686,"about_ca_system_score_gemma":0.010992,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9319848,"about_ca_topic_score_gemma":0.9728011,"domain_scores_codex":[0.999257,0.00005152404,0.00005942779,0.0002150694,0.0002511933,0.0001657051],"domain_scores_gemma":[0.9965895,0.0002309931,0.0004653952,0.0003470443,0.001955879,0.0004112647],"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":[0.0003932744,0.0001359024,0.2175857,0.001181538,0.0004766537,0.0002403327,0.0006916723,0.001577758,0.0009457042,0.0008441072,0.7627763,0.0131511],"study_design_scores_gemma":[0.0002025395,0.00003432262,0.7178203,0.0004338273,0.0001561985,0.0001417103,0.0008025102,0.0008472253,0.0005680919,0.0003562571,0.2785475,0.00008961275],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.006961679,0.0001406382,0.000149262,0.00004567187,0.00001415511,0.00002157316,0.99194,0.00007404176,0.0006530412],"genre_scores_gemma":[0.0101116,0.0001197811,0.0005197208,0.00003780508,0.000007808732,0.0001511603,0.9873391,0.00003739041,0.001675499],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06801516,"threshold_uncertainty_score":0.1368314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05796398341907438,"score_gpt":0.2867050858998894,"score_spread":0.228741102480815,"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."}}