{"id":"W1943355415","doi":"","title":"Longitudinal study of suomussalmi forestry workers II - Vibration exposure","year":2011,"lang":"it","type":"article","venue":"Canadian acoustics","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Forestry; Vibration; Environmental science; Engineering; Acoustics; Geography; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0001213932,0.0002805105,0.0002616743,0.0004215701,0.0001837614,0.00003886363,0.0002889306,0.0002065904,0.0007384879],"category_scores_gemma":[0.00004341745,0.0003306482,0.00006131451,0.0005031573,0.00007286228,0.0001381858,0.00006528587,0.0001798257,0.00003890788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002841221,"about_ca_system_score_gemma":0.0002337787,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02974784,"about_ca_topic_score_gemma":0.114039,"domain_scores_codex":[0.9984725,0.00003030539,0.0004734391,0.0002796408,0.0002487673,0.000495381],"domain_scores_gemma":[0.9988121,0.00001402799,0.00007643581,0.0004916587,0.0001217344,0.0004840366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007187177,0.0008790002,0.8702989,0.0007339361,0.0009887671,0.0005202577,0.01524198,0.06288578,0.0006392587,0.00938317,0.03569023,0.002666806],"study_design_scores_gemma":[0.000904878,0.0007957663,0.9738575,0.0001072877,0.0003775986,0.000004160026,0.008268517,0.01370395,0.00006744051,0.00006935446,0.001385898,0.0004576755],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9655489,0.0001982608,0.01093198,0.00003728982,0.001776308,0.0008636975,0.0001011399,0.0001022077,0.02044016],"genre_scores_gemma":[0.9979892,0.00003534129,0.0007029031,0.00004978859,0.0001087875,0.00001677899,0.00004577078,0.00006371311,0.0009877605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1035585,"threshold_uncertainty_score":0.9999145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03259345334836859,"score_gpt":0.2168106829252393,"score_spread":0.1842172295768707,"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."}}