{"id":"W1994176537","doi":"10.4028/www.scientific.net/msf.706-709.2931","title":"Specific Energy as a Characterizing Parameter for Laser Welded Ti-5Al-5V-5Mo-3Cr Alloy","year":2012,"lang":"en","type":"article","venue":"Materials science forum","topic":"Titanium Alloys Microstructure and Properties","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; National Research Council Canada","funders":"","keywords":"Materials science; Alloy; Welding; Laser; Microstructure; Ultimate tensile strength; Laser beam welding; Metallurgy; Composite material; Optics","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":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001564697,0.0004019504,0.0004929992,0.0001883488,0.0007748053,0.001161841,0.001027298,0.0001545268,0.002913003],"category_scores_gemma":[0.0001835075,0.0003076981,0.0001117631,0.0003021591,0.0006855925,0.00222914,0.0004005966,0.0000690035,0.0009845907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000115047,"about_ca_system_score_gemma":0.0001391716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001287818,"about_ca_topic_score_gemma":0.00001341074,"domain_scores_codex":[0.996218,0.00009576305,0.0005909544,0.000723241,0.0005553559,0.001816679],"domain_scores_gemma":[0.998451,0.0001109028,0.0002710431,0.0006781027,0.000160684,0.0003282726],"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":[0.0001765781,0.00004525798,0.0001588316,0.00002730502,0.000004816608,0.000002015844,0.0004439746,0.000001392593,0.9927422,0.003439741,0.002530459,0.0004274272],"study_design_scores_gemma":[0.0003160822,0.0001618734,0.000566679,0.00003459535,0.0000136991,0.0000552917,0.0002222881,0.000004220556,0.881286,0.0009864954,0.1159266,0.0004261669],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903323,0.0002137242,0.0002975853,0.0008153024,0.006961403,0.0004148506,0.0001783831,0.0001813937,0.0006050741],"genre_scores_gemma":[0.9920161,0.00003452539,0.004085199,0.001650027,0.0008680373,0.0001494303,0.00002994915,0.00005689226,0.001109861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1133962,"threshold_uncertainty_score":0.9999375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0198306677515975,"score_gpt":0.2428325511476082,"score_spread":0.2230018833960107,"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."}}