{"id":"W6990675210","doi":"","title":"Durex Flexlite / Durex Flexlite Select / Durex Insulite / Durex Insulite Select / Durex Insulite EW17 / Durex Insulite EXT / Durex Insulite EXT Select / Durex Quantum","year":2003,"lang":"fr","type":"report","venue":"NPARC","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Quantum; Field (mathematics); Process (computing)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001029958,0.001531737,0.0009005836,0.002213282,0.001703442,0.001909882,0.001834857,0.001037001,0.5592197],"category_scores_gemma":[0.002672093,0.001170888,0.0004301428,0.001384243,0.0005148508,0.001728327,0.001046231,0.001724315,0.4642214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001333011,"about_ca_system_score_gemma":0.001939625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006529836,"about_ca_topic_score_gemma":0.01680934,"domain_scores_codex":[0.9987471,0.00008182361,0.0000318087,0.0001649588,0.0008415013,0.0001328103],"domain_scores_gemma":[0.9976138,0.0003084181,0.00008378609,0.000687631,0.0009508366,0.0003555634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004034152,0.0002923101,0.0009691864,0.0003108901,0.00001583886,0.0001448675,0.0001204349,0.0004866585,0.02355388,0.006024646,0.7938614,0.1738164],"study_design_scores_gemma":[0.00007737386,0.000152562,0.003040422,0.00003726261,0.00001051432,0.0002774273,0.00004156132,0.0006718362,0.03513797,0.00063441,0.9598821,0.00003645768],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006693,0.0004342935,0.01837958,0.000526403,0.0004649439,0.0006907483,0.01858762,0.05070919,0.9035142],"genre_scores_gemma":[0.009091958,0.0002913886,0.01095149,0.0001194707,0.00005841443,0.0002286344,0.01451572,0.007325589,0.9574173],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5592197,"threshold_uncertainty_score":0.6287196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02183086056254805,"score_gpt":0.2329968748920583,"score_spread":0.2111660143295102,"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."}}