{"id":"W3163756041","doi":"","title":"Abstract: Toppling Tetrapod Trees at Joggins, Nova Scotia","year":2014,"lang":"en","type":"article","venue":"","topic":"Rangeland and Wildlife Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Nova scotia; Tetrapod (structure); Geography; Geology; Archaeology; Nova (rocket); Forestry; Paleontology; Engineering","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":[0.0002666713,0.0002074732,0.0002195611,0.0007697758,0.002699436,0.0008830504,0.0005612246,0.0003723527,0.005067318],"category_scores_gemma":[0.000664452,0.0001365934,0.0001388875,0.0007021992,0.0006612574,0.0002185636,0.0009106935,0.000366161,0.0005717291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003438449,"about_ca_system_score_gemma":0.006170071,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8529888,"about_ca_topic_score_gemma":0.9813751,"domain_scores_codex":[0.9997911,0.00002368826,0.000008422966,0.00004637352,0.00004221371,0.00008823031],"domain_scores_gemma":[0.9992777,0.00005211725,0.000100183,0.00003559182,0.0002717033,0.0002627553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006033641,0.0001042052,0.9433048,0.0001993644,0.0001185139,0.003591865,0.004309917,0.0007068537,0.01678624,0.0003242503,0.008743149,0.02120741],"study_design_scores_gemma":[0.00001112047,0.00002100904,0.9945632,0.00002405583,0.00001039695,0.0001559645,0.002438344,0.0001433008,0.0001420699,0.0000235142,0.002462494,0.000004554815],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930033,0.0001338579,0.00009998688,0.0001825728,0.00002309547,0.00004655226,0.001524247,0.00002011008,0.004966297],"genre_scores_gemma":[0.9916952,0.0000811135,0.0002989142,0.0001615375,0.00000845555,0.00003497436,0.0009609945,0.000007784463,0.006751016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1470112,"threshold_uncertainty_score":0.2957538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01052506737844492,"score_gpt":0.2123766672123895,"score_spread":0.2018515998339446,"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."}}