{"id":"W7071354327","doi":"","title":"Shoreline forest disturbance rates in natural and managed forests of northwestern Ontario / by Janet Landstrom. --","year":2004,"lang":"en","type":"dissertation","venue":"Knowledge Commons (Lakehead University)","topic":"QR Code Applications and Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Lakehead University","keywords":"Disturbance (geology); Natural (archaeology); Shore; Vegetation (pathology); Natural forest","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00006098079,0.0002912079,0.0004083654,0.0005736495,0.0001265994,0.00005806332,0.001236416,0.000252603,0.000002960635],"category_scores_gemma":[0.000008039049,0.0003078684,0.00007627384,0.0008475882,0.0001141328,0.0002836074,0.0002863294,0.0005072171,0.00000498976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000270829,"about_ca_system_score_gemma":0.0002185606,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007914827,"about_ca_topic_score_gemma":0.9939346,"domain_scores_codex":[0.9988056,0.00003240305,0.0002575942,0.0005133488,0.0001228622,0.0002682316],"domain_scores_gemma":[0.9989082,0.00008606919,0.0001828546,0.000632734,0.000130616,0.00005957582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009233686,0.0004797076,0.8964146,0.0002859361,0.00008952385,0.00009218988,0.003876749,0.00005169924,0.00009314362,0.08470459,0.00115363,0.01266586],"study_design_scores_gemma":[0.001276689,0.0001291235,0.9642926,0.0003826436,0.00004785866,0.000006493438,0.0003131676,0.0006050019,0.0002624816,0.001948081,0.03020394,0.0005318485],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878317,0.002371236,0.002547548,0.00009073572,0.0001594994,0.000356971,0.00003030254,0.0001272227,0.006484797],"genre_scores_gemma":[0.9895008,0.00001787162,0.000306339,8.867663e-7,0.000007723904,0.000006568296,0.0007263848,0.00001363307,0.009419835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9860198,"threshold_uncertainty_score":0.9999374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01053352611975881,"score_gpt":0.2201648762553726,"score_spread":0.2096313501356138,"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."}}