{"id":"W6931702106","doi":"10.5281/zenodo.8330920","title":"Adverbs with preposition and adjective in Saguenay–Lac-St-Jean (Quebec) based on field research: individual portraits - Project Materials","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Medical Image Segmentation Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Adjective; Adverbial; Portrait; Romance languages; Field (mathematics); Variation (astronomy); Grammar; Competition (biology)","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":[],"consensus_categories":[],"category_scores_codex":[0.0004841706,0.000352036,0.0001392,0.001840721,0.002206993,0.0006278136,0.000373917,0.0003796695,0.01141886],"category_scores_gemma":[0.0008721777,0.0001180483,0.0001417152,0.002010831,0.001377839,0.0003461531,0.0004594607,0.000340413,0.0007207106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005852523,"about_ca_system_score_gemma":0.001309318,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6804733,"about_ca_topic_score_gemma":0.9004769,"domain_scores_codex":[0.9997545,0.00009602511,0.00000735609,0.00005851509,0.00004004538,0.00004357551],"domain_scores_gemma":[0.9992914,0.0003486687,0.00004754913,0.00006246943,0.0001790248,0.00007085752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.001090026,0.0004121702,0.1256579,0.001012694,0.00008864041,0.007175127,0.46402,0.001528401,0.1253246,0.01517774,0.04852841,0.2099843],"study_design_scores_gemma":[0.0000252433,0.000172693,0.5718977,0.0002578996,0.00003944244,0.002056818,0.1447112,0.001133999,0.01432652,0.0008123689,0.2644778,0.00008827735],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9403657,0.001085251,0.001662117,0.0003510697,0.00004885079,0.0001866982,0.003686291,0.00009626271,0.05251768],"genre_scores_gemma":[0.9605536,0.000440655,0.002814112,0.00008994782,0.00001782684,0.00007481397,0.002450249,0.00007690409,0.03348186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3195267,"threshold_uncertainty_score":0.6428168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03774267224843994,"score_gpt":0.2985388237760937,"score_spread":0.2607961515276538,"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."}}