{"id":"W2007429639","doi":"10.1115/smasis2013-3152","title":"An Innovative Laser-Processed NiTi Self-Biasing Linear Actuator","year":2013,"lang":"en","type":"article","venue":"","topic":"Shape Memory Alloy Transformations","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Smarter Alloys (Canada); University of Waterloo","funders":"","keywords":"Shape-memory alloy; Biasing; Materials science; Nickel titanium; Actuator; Pseudoelasticity; Martensite; Austenite; Work (physics); Voltage; Composite material; Mechanical engineering; Computer science; Microstructure; Electrical engineering; Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002385699,0.0001409081,0.00013767,0.0000923562,0.0001922026,0.0002426247,0.0002901017,0.00006419588,0.008058646],"category_scores_gemma":[0.00006800632,0.000116704,0.00001984928,0.0004821566,0.00005610827,0.002563049,0.00002137359,0.00009474878,0.004512442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003759961,"about_ca_system_score_gemma":0.000114311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008638316,"about_ca_topic_score_gemma":0.00002546874,"domain_scores_codex":[0.9989273,0.00005483309,0.0002804987,0.0002254947,0.0002250578,0.0002868371],"domain_scores_gemma":[0.9990265,0.00007789403,0.00006618769,0.000259887,0.0004580593,0.0001115063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000006270158,0.0001400713,0.000128347,0.00003380876,0.000007441449,0.000001664963,0.003222337,0.00003783752,0.9945636,0.0004910772,0.0004097245,0.0009578073],"study_design_scores_gemma":[0.0003426127,0.00007721499,0.001837598,0.00001255385,0.000007804841,0.000006587453,0.001411668,0.004328866,0.9906936,0.0003669832,0.0006942931,0.00022017],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834949,0.000001859894,0.004215644,0.0003986998,0.0001456025,0.0003191382,0.00001004043,0.0005775017,0.01083658],"genre_scores_gemma":[0.9580876,0.000001075702,0.04056347,0.0009886387,0.00009625898,0.00005947943,0.00001796117,0.000018819,0.0001666614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03634783,"threshold_uncertainty_score":0.9962627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01701834952785995,"score_gpt":0.2690619853474793,"score_spread":0.2520436358196194,"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."}}