{"id":"W2218454524","doi":"","title":"Terrestrial lichen abundance in relation to stand structure and silvicultural history","year":2014,"lang":"en","type":"dissertation","venue":"Knowledge Commons (Lakehead University)","topic":"Lichen and fungal ecology","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Lakehead University","keywords":"Lichen; Abundance (ecology); Relation (database); Geography; Ecology; Environmental science; Forestry; Biology; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009451605,0.0002608249,0.0003740092,0.0001197866,0.0001692003,0.00002970414,0.0003285179,0.0005125884,0.0001956906],"category_scores_gemma":[0.00006595482,0.0001426918,0.00007507922,0.0004128206,0.00005470712,0.0001488828,0.00007709026,0.0004452849,0.00002988085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004748042,"about_ca_system_score_gemma":0.00006328039,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003098424,"about_ca_topic_score_gemma":0.6444433,"domain_scores_codex":[0.9987557,0.0001912087,0.0002201452,0.0004531692,0.0001008214,0.0002789844],"domain_scores_gemma":[0.9993491,0.0001815675,0.0001372424,0.00008423789,0.0000787753,0.0001691105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004909845,0.0009705044,0.5215721,0.000540161,0.0002899804,0.000169385,0.03130616,0.000036172,0.1465865,0.02136315,0.07889151,0.1933646],"study_design_scores_gemma":[0.0003132121,0.0001540662,0.5119119,0.00007235877,0.00002591949,0.000001380899,0.0002412161,0.000009731471,0.00004977972,0.00005157201,0.486922,0.0002468547],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9626055,0.0008379717,6.944855e-7,0.0001890626,0.0008659205,0.000324503,0.0000490595,0.00005104903,0.03507619],"genre_scores_gemma":[0.9736267,0.000005734175,0.000009037221,0.000008618419,0.0002782751,0.000001805945,0.0006432222,0.000002616402,0.025424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6441335,"threshold_uncertainty_score":0.5818804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01974686381468738,"score_gpt":0.2140352464896799,"score_spread":0.1942883826749925,"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."}}