{"id":"W7065800710","doi":"","title":"Étude, développement et optimisation d'un procédé de
\\nfermentation du lactosérum pour la production de
\\nbiomasse microbienne.","year":2014,"lang":"fr","type":"dissertation","venue":"EspaceINRS Institutional Digital Repository (Institut National de la Recherche Scientifique)","topic":"Optical Polarization and Ellipsometry","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Lactose; Fermentation; Sugar industry; Animal production","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.007036533,0.0009905441,0.0005879372,0.001106661,0.001164302,0.002152827,0.0006622775,0.002078163,0.00007229487],"category_scores_gemma":[0.009966377,0.001164439,0.0004554578,0.001686629,0.0008508022,0.002471399,0.0001304852,0.002038863,0.0002889113],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.009748777,"about_ca_system_score_gemma":0.006760588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001907418,"about_ca_topic_score_gemma":0.0002982735,"domain_scores_codex":[0.9925702,0.001957773,0.001337725,0.001383326,0.001737302,0.001013689],"domain_scores_gemma":[0.9949021,0.001607293,0.0006010596,0.000423923,0.001813771,0.0006518682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003333993,0.001984574,0.01398661,0.001952266,0.0006650661,0.000100306,0.005933498,0.4309086,0.4044275,0.1257613,0.006140222,0.007806696],"study_design_scores_gemma":[0.004412801,0.0002088634,0.2510105,0.004363976,0.0006829828,0.002219449,0.001314183,0.1434195,0.4735914,0.03434883,0.08014957,0.004277914],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5352805,0.0005125956,0.3236817,0.005228598,0.004556834,0.001748577,0.0002316968,0.0006793428,0.1280801],"genre_scores_gemma":[0.9164488,0.0004470256,0.06005403,0.0003090717,0.0009608263,0.0003662127,0.003234696,0.0001474443,0.01803186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3811683,"threshold_uncertainty_score":0.9992173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03904454205309385,"score_gpt":0.3108769229350477,"score_spread":0.2718323808819538,"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."}}