{"id":"W7097916166","doi":"","title":"Forestry in Ontario Eastern White Pine Forests Ecology, Threats and Survival Fact Sheet #3: White Pine Forests","year":2015,"lang":"en","type":"article","venue":"","topic":"Invertebrate Taxonomy and Ecology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Logging; White (mutation); Government (linguistics); Fact sheet; Community forestry; Forest management; White paper; Wilderness","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":[0.0003044493,0.0001814572,0.0001299526,0.0010022,0.002934085,0.00112244,0.0003811816,0.0002610268,0.01130993],"category_scores_gemma":[0.0004801194,0.0001752793,0.0001038872,0.002229923,0.0004668492,0.000347819,0.0004956697,0.0003118187,0.0008933338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01363808,"about_ca_system_score_gemma":0.02809832,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9885607,"about_ca_topic_score_gemma":0.9980475,"domain_scores_codex":[0.9996578,0.00001295393,0.00001434715,0.00002376581,0.0001777466,0.0001133911],"domain_scores_gemma":[0.9991964,0.00005656005,0.0001032425,0.00002626371,0.0004060186,0.0002115643],"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":[0.0001574304,0.00005083429,0.1425513,0.000776851,0.00002622931,0.0007625148,0.006389197,0.0004879918,0.00191049,0.006182496,0.6492178,0.191487],"study_design_scores_gemma":[0.000006066968,0.00001368894,0.493214,0.0002054057,0.00001018983,0.0001122117,0.002432948,0.0000888361,0.0001548913,0.000163912,0.5035836,0.00001420344],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.3555832,0.03623605,0.0008393594,0.02086342,0.001418866,0.0004923018,0.06835938,0.0002164847,0.515991],"genre_scores_gemma":[0.5680334,0.02459257,0.001797557,0.002008854,0.0002948682,0.0001992407,0.02320699,0.00007005878,0.3797964],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01363808,"threshold_uncertainty_score":0.09895164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04930777850165764,"score_gpt":0.2308232247939591,"score_spread":0.1815154462923014,"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."}}