{"id":"W7018268550","doi":"","title":"Contribution au développement des nouvelles méthodes de mise à la terre (MALT) basées sur l’utilisation des bétons et/ou géopolymères électriquement conducteurs","year":2024,"lang":"fr","type":"other","venue":"Constellation (Université du Québec à Chicoutimi)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Mitacs","keywords":"Public investment; Sugar industry; Calendering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007194637,0.0004916405,0.0004692444,0.0004607668,0.0003433332,0.0009931826,0.0007501678,0.0006974685,0.003694559],"category_scores_gemma":[0.001256172,0.000411626,0.0005444662,0.0004558722,0.0004707172,0.0009930714,0.0007263232,0.0006985788,0.001074235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006774886,"about_ca_system_score_gemma":0.0008611599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004587131,"about_ca_topic_score_gemma":0.009559087,"domain_scores_codex":[0.9993219,0.00007579216,0.00002386458,0.0001338599,0.0004114659,0.00003308791],"domain_scores_gemma":[0.9994749,0.0001525606,0.00005350792,0.00008818113,0.0002121956,0.00001867324],"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":[0.0001682141,0.0001360383,0.004285643,0.001499043,0.0001250029,0.0002294615,0.0005674185,0.05058609,0.6126269,0.01194982,0.00135548,0.3164709],"study_design_scores_gemma":[0.00003243415,0.0005062883,0.007476329,0.000205074,0.000130554,0.0005412675,0.0003787059,0.226833,0.6664222,0.002765175,0.09460552,0.0001035497],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.149672,0.004292428,0.8267425,0.0004189085,0.0002062637,0.0001896919,0.0002257705,0.001219337,0.01703307],"genre_scores_gemma":[0.4818364,0.003987387,0.4760988,0.000171932,0.00003628922,0.0002376429,0.0003802716,0.00049598,0.0367553],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004587131,"threshold_uncertainty_score":0.01235956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03001060705790649,"score_gpt":0.2530999719571403,"score_spread":0.2230893648992338,"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."}}