{"id":"W7049315436","doi":"","title":"NRC 3D Imaging Technology for Museums & Heritage","year":2002,"lang":"en","type":"article","venue":"National Research Council Canada (Government of Canada)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Cultural heritage; Variety (cybernetics); National heritage; Research council; Industrial heritage; High resolution","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001364036,0.0006985781,0.0005479204,0.003545668,0.002228313,0.002795774,0.001360221,0.001247068,0.03310997],"category_scores_gemma":[0.001545809,0.0006928008,0.0006671774,0.003269568,0.0009213059,0.001097612,0.001616839,0.001730904,0.009644973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00485662,"about_ca_system_score_gemma":0.009285021,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1821717,"about_ca_topic_score_gemma":0.3345188,"domain_scores_codex":[0.9981408,0.00008456918,0.00003386119,0.00009959689,0.001532689,0.000108372],"domain_scores_gemma":[0.9980323,0.0001276723,0.00005825523,0.0002829685,0.001343863,0.0001550119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001180208,0.00004156488,0.001235409,0.0004563623,0.00002292053,0.0004590643,0.0007116341,0.002141772,0.07086259,0.0309635,0.335782,0.5572052],"study_design_scores_gemma":[0.00001214145,0.00001828021,0.002013009,0.00009944649,0.00001563528,0.0007452756,0.0000979206,0.003455548,0.01906206,0.001772379,0.9726465,0.00006176186],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.00940212,0.01260193,0.5477957,0.005966357,0.001728099,0.0005514298,0.008439568,0.01754778,0.3959669],"genre_scores_gemma":[0.07414059,0.01488189,0.5905015,0.001716323,0.0002335278,0.0006065186,0.009566339,0.00247334,0.30588],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8178283,"threshold_uncertainty_score":0.3622226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06444802353904734,"score_gpt":0.2744598018126898,"score_spread":0.2100117782736425,"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."}}