{"id":"W4255499189","doi":"10.1007/978-3-642-20617-7_100501","title":"Unconventional Actuator","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Engineering Technology and Methodologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Actuator; Geology; Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001283668,0.0005541014,0.0002937594,0.0003271312,0.0005463072,0.0008487315,0.0006154238,0.0005918175,0.02775543],"category_scores_gemma":[0.0002293739,0.0001927078,0.0001899754,0.0003178195,0.0008364533,0.001513843,0.0012757,0.001132685,0.006389395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004091449,"about_ca_system_score_gemma":0.0004220029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003613853,"about_ca_topic_score_gemma":0.001129641,"domain_scores_codex":[0.9998554,0.0000153962,0.000004373323,0.00003046723,0.00007962088,0.00001463544],"domain_scores_gemma":[0.9999467,0.00001711418,0.000003261558,0.0000148813,0.00001292162,0.000005170666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005238798,0.00002659135,0.0001077985,0.0005520626,0.00001144561,0.0001537957,0.0003312715,0.002044032,0.02834897,0.5574514,0.09153131,0.3193889],"study_design_scores_gemma":[0.000003534799,0.00002576053,0.0002148385,0.0001607839,0.000005611593,0.0002328814,0.00006997324,0.002961214,0.007044902,0.04306899,0.9461983,0.0000132652],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00462994,0.01444046,0.08338086,0.001590744,0.002439709,0.00002970388,0.0001384607,0.0004676928,0.8928824],"genre_scores_gemma":[0.04723404,0.01044735,0.0199818,0.0007077781,0.0004508395,0.0000692434,0.0002203047,0.0002127741,0.9206758],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02775543,"threshold_uncertainty_score":0.09285122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02636385437594834,"score_gpt":0.2180441251304941,"score_spread":0.1916802707545457,"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."}}