{"id":"W6925261912","doi":"10.17616/r31njnp3","title":"Université de Sherbrooke - Dataverse","year":2024,"lang":"en","type":"other","venue":"Registry of Research Repositories","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dissemination; Reuse; Research data; Germanic languages","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014729,0.0001548935,0.0002159779,0.000316312,0.00004753033,0.00004986002,0.0004755267,0.0003913024,0.0002762823],"category_scores_gemma":[0.00006575214,0.000153372,0.00006850715,0.0002711965,0.0004810257,0.0000279279,0.0003354925,0.0004934264,0.0001704382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003372271,"about_ca_system_score_gemma":0.00005932861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006517331,"about_ca_topic_score_gemma":0.0001641201,"domain_scores_codex":[0.9989189,0.00001942246,0.0001181003,0.0002130202,0.0003941365,0.0003364212],"domain_scores_gemma":[0.9990441,0.00005003647,0.00002749998,0.0007816394,0.00003892826,0.00005777517],"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":[0.000005852933,0.000004164612,0.0001264604,0.002302361,0.0001641938,0.0003258194,0.00008546752,0.000008619603,0.0008039525,0.002976056,0.9929786,0.0002184746],"study_design_scores_gemma":[0.0000477632,0.00002697866,0.00001067237,0.0008041564,0.00001744777,0.00003683534,0.0006220471,0.00003011424,0.01128636,0.0003064414,0.9866825,0.0001286858],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005524374,0.01069429,0.0000255894,0.00004031123,0.0009038655,0.0001194731,0.0001248546,0.001382537,0.9861566],"genre_scores_gemma":[0.002978628,0.003819269,0.0004936106,5.068283e-7,0.0005198315,0.00000947157,0.00002204955,0.0002974078,0.9918592],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0104824,"threshold_uncertainty_score":0.6254327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0223703865182708,"score_gpt":0.2779929901744158,"score_spread":0.255622603656145,"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."}}