{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01359062,0.002587274,0.00261632,0.009153204,0.00301631,0.02583967,0.004324011,0.003311541,0.5413092],"category_scores_gemma":[0.05950424,0.002262398,0.001091525,0.01986181,0.002125988,0.01735122,0.009012436,0.003645858,0.6262574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004167459,"about_ca_system_score_gemma":0.01082727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02837374,"about_ca_topic_score_gemma":0.02514753,"domain_scores_codex":[0.9910942,0.001951187,0.001115798,0.001622582,0.003386811,0.0008295258],"domain_scores_gemma":[0.9622015,0.007240986,0.001992717,0.01447405,0.009623133,0.004467595],"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":[0.0001285907,0.00002126518,0.0003061379,0.0003792543,0.00001314776,0.00004063455,0.0001532213,0.00006620336,0.0002567086,0.01173184,0.9570689,0.02983423],"study_design_scores_gemma":[0.00001750407,0.000003771942,0.0002518718,0.000192062,0.000004024098,0.00002861111,0.00007168892,0.00006966195,0.0004565435,0.002257409,0.9966263,0.00002067135],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008180621,0.002381664,0.02136,0.006302082,0.001280156,0.0004995282,0.3825452,0.1015039,0.4833094],"genre_scores_gemma":[0.008528309,0.004808931,0.03400958,0.004002145,0.0005346747,0.00104362,0.4165802,0.08608513,0.4444075],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5413092,"threshold_uncertainty_score":0.6542667,"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."}}