{"id":"W7072113908","doi":"","title":"Ãtude des faisceaux laser et des impulsions brÃ¨ves Ã  symÃ©trie cylindrique","year":2006,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Laser; Constant (computer programming); Tilt (camera)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008568403,0.0008397059,0.0004898601,0.001725496,0.002033541,0.002521223,0.0009581498,0.001660178,0.01554675],"category_scores_gemma":[0.00216962,0.000476024,0.000893029,0.001307949,0.001769339,0.001156168,0.0005545436,0.001722166,0.002431788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004011754,"about_ca_system_score_gemma":0.00232106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04691984,"about_ca_topic_score_gemma":0.03136606,"domain_scores_codex":[0.9985501,0.0001131265,0.00002468489,0.0001620833,0.001054946,0.00009516696],"domain_scores_gemma":[0.9985265,0.0006915436,0.0001106284,0.0001059986,0.0004541405,0.000111315],"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":[0.002584121,0.0005096965,0.01657181,0.0008128229,0.0001643963,0.004869773,0.0030285,0.02102547,0.5277222,0.1032718,0.01147104,0.3079685],"study_design_scores_gemma":[0.0004135123,0.001758818,0.1602495,0.000183938,0.0001772064,0.01540598,0.002201417,0.05278869,0.5976295,0.01166108,0.1572,0.0003303251],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.679685,0.01455762,0.08781397,0.001456445,0.0006235292,0.0001702179,0.0005873726,0.001795575,0.2133101],"genre_scores_gemma":[0.8025527,0.002898165,0.01519322,0.0001354092,0.0001367479,0.00008190068,0.0002287306,0.0002550553,0.1785182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04691984,"threshold_uncertainty_score":0.09329349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004206651196283923,"score_gpt":0.1602219196674032,"score_spread":0.1560152684711193,"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."}}