{"id":"W2883496502","doi":"10.1520/mpc20170162","title":"Analysis of Seeded Defects in Laser Additive Manufactured 300M Steel","year":2018,"lang":"en","type":"article","venue":"Materials Performance and Characterization","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nova Scotia Hospital; Dalhousie University; Defence Research and Development Canada","funders":"","keywords":"Materials science; Nondestructive testing; Optical microscope; Fabrication; Microstructure; Repeatability; Ultrasonic testing; Ultrasonic sensor; Radiographic testing; Composite material; Displacement (psychology); Acoustics; Welding; Scanning electron microscope","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":[],"consensus_categories":[],"category_scores_codex":[0.000101444,0.0001481741,0.0003171421,0.000248056,0.00004181035,0.00004921248,0.00005845552,0.00007699486,0.0007180902],"category_scores_gemma":[0.000005669763,0.000135254,0.00001949149,0.0002420892,0.00005013443,0.0002972558,0.00002389492,0.00002929357,0.00001323803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001527729,"about_ca_system_score_gemma":0.000005804015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000703577,"about_ca_topic_score_gemma":0.00001374803,"domain_scores_codex":[0.9993101,0.00001892494,0.0002788506,0.0001469199,0.00008135214,0.0001638425],"domain_scores_gemma":[0.9997265,0.00001395237,0.00008557481,0.0001007274,0.00004643987,0.000026771],"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":[0.00007778603,0.00001381044,0.004305666,0.0002360298,0.0001008097,7.980751e-7,0.0005939619,0.0001453711,0.9920768,0.000005172393,0.00001208962,0.002431689],"study_design_scores_gemma":[0.000109753,0.00003169007,0.441057,0.00003153236,0.00004816955,3.753588e-7,0.00001300609,0.0005456077,0.5577949,0.000003319868,0.0002767222,0.00008796705],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988346,0.000005517648,0.000116325,0.000004082527,0.0002689215,0.000115282,0.000401643,0.00005912561,0.0001945149],"genre_scores_gemma":[0.9985427,0.0002731319,0.00001813061,0.00003412715,0.0001337093,0.00002237387,0.0009242844,0.00001805395,0.00003352175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4367513,"threshold_uncertainty_score":0.7862584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006011564203050075,"score_gpt":0.1941979662191132,"score_spread":0.1881864020160632,"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."}}