{"id":"W4410083676","doi":"10.1016/j.measurement.2025.117765","title":"Development of a modified-in vitro corrosion fatigue test rig for biodegradable load-bearing metallic implants","year":2025,"lang":"en","type":"article","venue":"Measurement","topic":"Magnesium Alloys: Properties and Applications","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Golestan University of Medical Sciences","keywords":"Bearing (navigation); Materials science; Corrosion; Metal; Load bearing; Structural engineering; Metallurgy; Composite material; Engineering; Computer science","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":[0.001687885,0.001209721,0.0006739416,0.0006468136,0.0002371028,0.0003345828,0.001394744,0.0009287834,0.002180122],"category_scores_gemma":[0.001958483,0.0005716248,0.0004281817,0.0003292233,0.0003658632,0.0005170943,0.0004766642,0.0004729702,0.00131518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003145171,"about_ca_system_score_gemma":0.0006552703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001441478,"about_ca_topic_score_gemma":0.00487613,"domain_scores_codex":[0.9986804,0.0002073171,0.0001237374,0.0001692541,0.0007470427,0.00007229743],"domain_scores_gemma":[0.9982127,0.0003901714,0.0002867061,0.0002737371,0.0007491544,0.00008749731],"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":[0.00004494547,0.0000474962,0.00058844,0.0000967793,0.000007268069,0.00003023013,0.00003724025,0.0002111425,0.9896814,0.00005064771,0.0001275734,0.009076735],"study_design_scores_gemma":[0.00001986249,0.00144051,0.01056536,0.00001909461,0.00004012716,0.0003307156,0.00003876616,0.007305933,0.9749884,0.00006322396,0.005149173,0.00003890375],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2635347,0.001056674,0.7254778,0.0001692616,0.0001954263,0.001727874,0.001799358,0.003735554,0.002303279],"genre_scores_gemma":[0.5216534,0.000867147,0.4662081,0.0002531336,0.00007977265,0.002039156,0.001708835,0.0004205273,0.00676994],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002180122,"threshold_uncertainty_score":0.008926511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09188408395848285,"score_gpt":0.2773000459092262,"score_spread":0.1854159619507433,"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."}}