{"id":"W2783840413","doi":"10.1115/imece2017-70218","title":"An Empirical Prediction Law for Quasi-Static Nail-Particle Board Penetration Resistance","year":2017,"lang":"en","type":"article","venue":"","topic":"Integrated Circuits and Semiconductor Failure Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Penetration (warfare); Dimensionless quantity; Computer science; Materials science; Structural engineering; Mechanical engineering; Engineering; Mechanics; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001015747,0.0009981899,0.0005469421,0.001005575,0.0002270076,0.0005149887,0.001561499,0.001439551,0.003703521],"category_scores_gemma":[0.007718767,0.0003891172,0.0007139015,0.0004583727,0.0007989537,0.001604771,0.0003861104,0.001301882,0.002308142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005532799,"about_ca_system_score_gemma":0.0003809135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001698221,"about_ca_topic_score_gemma":0.0009432844,"domain_scores_codex":[0.998942,0.0001666133,0.00004718109,0.0003411977,0.0003902193,0.0001128815],"domain_scores_gemma":[0.9964336,0.002173835,0.000446481,0.0003833019,0.0005212052,0.00004154022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001885403,0.0004442661,0.01305325,0.0009317562,0.00007656275,0.001354569,0.0007383053,0.6400097,0.1209032,0.05855459,0.005916418,0.1578289],"study_design_scores_gemma":[0.000007432644,0.0001278676,0.003820311,0.00005068132,0.00001979617,0.0006205357,0.000049333,0.9770759,0.0115375,0.004337191,0.002309329,0.00004417157],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08758216,0.002597731,0.8974708,0.0004897657,0.0002184341,0.0001622641,0.0002694759,0.001115784,0.01009347],"genre_scores_gemma":[0.9611285,0.001818192,0.03130084,0.0001382939,0.00008105091,0.0001932477,0.0001966743,0.0001398505,0.005003429],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003703521,"threshold_uncertainty_score":0.01238954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02844050447080652,"score_gpt":0.2922468415889078,"score_spread":0.2638063371181013,"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."}}