{"id":"W7133512147","doi":"10.7202/1123659ar","title":"INTRODUCTION","year":2025,"lang":"fr","type":"article","venue":"Diversité urbaine","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Telmatology; Pipeline (software); Context (archaeology)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001323615,0.0008938386,0.0004582249,0.001466386,0.002078753,0.004591973,0.001475233,0.002644138,0.2924748],"category_scores_gemma":[0.00443108,0.0002671594,0.0007063305,0.001306281,0.001097363,0.003103216,0.003460231,0.002259048,0.1549962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002268227,"about_ca_system_score_gemma":0.002971571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006706874,"about_ca_topic_score_gemma":0.005402876,"domain_scores_codex":[0.9985037,0.0002002919,0.0000795772,0.0003861235,0.0006282189,0.0002019954],"domain_scores_gemma":[0.9981827,0.000284231,0.0001042394,0.0001925611,0.0009783212,0.0002580323],"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":[0.000122443,0.00005547071,0.001154081,0.0007818019,0.0000120772,0.0002784955,0.001351948,0.0002228214,0.0007468147,0.08499935,0.6759378,0.2343369],"study_design_scores_gemma":[0.000002528589,0.000008557837,0.0003085273,0.000168691,0.000001705714,0.00008785902,0.000165683,0.0000169026,0.00008423654,0.002193065,0.9969577,0.000004609185],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003663406,0.01491515,0.007310464,0.03231529,0.02238178,0.0002556086,0.007464217,0.001229835,0.9104643],"genre_scores_gemma":[0.03092155,0.01243466,0.005863348,0.01478771,0.006154507,0.0003525569,0.007742639,0.0007455189,0.9209975],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7075253,"threshold_uncertainty_score":0.9784256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08544404624509176,"score_gpt":0.258591120327857,"score_spread":0.1731470740827653,"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."}}