{"id":"W7052334770","doi":"","title":"RÃ©alisation d'un systÃ¨me de triangulation au laser dans le cadre d'applications dans le domaine de l'agroalimentaire","year":2001,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"ESPACE; Triangulation; Coordinate-measuring machine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"bench_or_experimental","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"bench_or_experimental","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"medium","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001268127,0.0007195412,0.0005683611,0.0008480811,0.0009520638,0.002212592,0.001101781,0.001902009,0.01069318],"category_scores_gemma":[0.001622848,0.0006327177,0.0008866464,0.0008345983,0.001244787,0.001708016,0.001169912,0.001291201,0.003919356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001501993,"about_ca_system_score_gemma":0.001331108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003768595,"about_ca_topic_score_gemma":0.005358328,"domain_scores_codex":[0.9982105,0.0002349364,0.00006049592,0.0003768074,0.0009616936,0.0001555355],"domain_scores_gemma":[0.9985903,0.0004477949,0.0001301754,0.0002741623,0.0005008101,0.00005666975],"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":[0.0002157878,0.00006825251,0.001084595,0.0006502978,0.00003766258,0.0003173321,0.0009193309,0.01333035,0.7133661,0.02710704,0.003673207,0.23923],"study_design_scores_gemma":[0.0000391141,0.0006257242,0.003636301,0.0001850844,0.00006663859,0.001049215,0.0006831455,0.06604703,0.6800078,0.004901182,0.2426008,0.0001580219],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0850127,0.00575166,0.845891,0.001418229,0.0007379638,0.0002190221,0.0002002685,0.004169116,0.05660001],"genre_scores_gemma":[0.4046721,0.004465953,0.4922309,0.0006726415,0.0001864258,0.000288019,0.0002610257,0.0007860265,0.09643708],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01069318,"threshold_uncertainty_score":0.03577226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002980145670686299,"score_gpt":0.1610541813588395,"score_spread":0.1580740356881532,"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."}}