{"id":"W7039239074","doi":"","title":"Les routes minérales en tourbières à sphaignes : restauration par enfouissement","year":2018,"lang":"fr","type":"other","venue":"Corpus Université Laval (Université Laval)","topic":"Diabetes Management and Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Copper alloy; Production system (computer science); Waste disposal; Steel frame","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002085122,0.0004004893,0.000223577,0.0008979761,0.001425847,0.001308132,0.000486525,0.0007487379,0.004741197],"category_scores_gemma":[0.0003334195,0.0003083663,0.0003569295,0.001120093,0.0006645464,0.0004905211,0.0005617622,0.0004169531,0.000873076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002848392,"about_ca_system_score_gemma":0.002506638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3764583,"about_ca_topic_score_gemma":0.6410081,"domain_scores_codex":[0.9997781,0.00001982758,0.000005044914,0.00008022279,0.00007708368,0.00003970782],"domain_scores_gemma":[0.9998162,0.00002489441,0.00003423204,0.000008911356,0.00008483508,0.00003092752],"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":[0.001841706,0.0001661854,0.2730778,0.0009430238,0.0001392848,0.002267643,0.009000863,0.00658733,0.5765104,0.002103888,0.001522597,0.1258393],"study_design_scores_gemma":[0.000038001,0.0006067255,0.8252527,0.0001072708,0.0001043448,0.0009647245,0.008400378,0.004513816,0.1244303,0.0003237357,0.03516592,0.00009218542],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920988,0.0004423346,0.002276904,0.00009403379,0.00001101631,0.0000468371,0.0003764506,0.00005272228,0.004601015],"genre_scores_gemma":[0.9658955,0.0006428193,0.009452605,0.00003542571,0.000004004085,0.00006415819,0.0005450858,0.00003878016,0.02332166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3764583,"threshold_uncertainty_score":0.7485341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01204785292303041,"score_gpt":0.226488899209654,"score_spread":0.2144410462866236,"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."}}