{"id":"W7043443908","doi":"","title":"Testing proposal for an optically tracked CMM (OTCMM) in a pre-normative context","year":2016,"lang":"en","type":"article","venue":"NPARC","topic":"Advanced Measurement and Metrology Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Software portability; Flexibility (engineering); Context (archaeology); Quality (philosophy); Product (mathematics); Function (biology); Standardization","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002524427,0.0001064952,0.0001471646,0.00006809288,0.00002041992,0.000006731545,0.00009673704,0.00007081778,0.00001838542],"category_scores_gemma":[0.0002364018,0.00007802303,0.00002299561,0.00007180333,0.0000445204,0.0002499466,0.000009280025,0.00008122934,0.000004515632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006367645,"about_ca_system_score_gemma":0.00002659912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001016963,"about_ca_topic_score_gemma":0.00002569153,"domain_scores_codex":[0.9993451,0.00002009614,0.0001806592,0.0001253962,0.00007406367,0.0002546719],"domain_scores_gemma":[0.9996018,0.0001407173,0.00002307485,0.0001139956,0.00006671698,0.00005366724],"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":[0.00006696796,0.00003774862,0.002024097,0.00003241526,0.00001137841,0.000001492209,0.0004525346,0.00002683768,0.8865722,0.002443344,0.0004023584,0.1079286],"study_design_scores_gemma":[0.005170335,0.002092321,0.01903206,0.000478169,0.00004528775,0.00001588184,0.0002424766,0.0162424,0.7955874,0.1566066,0.003579817,0.0009072513],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6515871,0.00004037321,0.3334469,0.0002650798,0.0001044835,0.000956567,0.00001244271,0.0007937859,0.01279325],"genre_scores_gemma":[0.8358717,0.00000237744,0.1638085,0.00002594515,0.00004063608,0.000190872,0.000001575891,0.00001969001,0.00003870845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1842846,"threshold_uncertainty_score":0.3181687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03498234961550756,"score_gpt":0.2759100988667791,"score_spread":0.2409277492512716,"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."}}