{"id":"W4367016705","doi":"10.7202/1098703ar","title":"Argumenter sur l’argumentation : regards croisés sur les apports de la transdisciplinarité en recherche","year":2023,"lang":"fr","type":"article","venue":"Enjeux et société Approches transdisciplinaires","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Humanities; Political science; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.03318248,0.0009682956,0.00105952,0.0007064132,0.001068206,0.001150089,0.001456034,0.001514634,0.004727154],"category_scores_gemma":[0.001812433,0.0009017618,0.0009494886,0.002571677,0.001137725,0.002100362,0.0003280181,0.002004921,0.0008237935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008985663,"about_ca_system_score_gemma":0.002745845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004259582,"about_ca_topic_score_gemma":0.001289329,"domain_scores_codex":[0.9849616,0.006452818,0.002071764,0.001748281,0.003151763,0.001613778],"domain_scores_gemma":[0.9870831,0.01017713,0.0005590364,0.0009677646,0.0006607715,0.000552183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004757961,0.001526923,0.009637213,0.001225698,0.0004928237,0.0001307606,0.3580185,0.006877863,0.003776682,0.01046277,0.02030503,0.5870699],"study_design_scores_gemma":[0.007096673,0.0007523399,0.4911963,0.001631811,0.0007141712,0.0001259318,0.1111527,0.03802759,0.006765542,0.2302516,0.1098171,0.002468143],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8648408,0.005107666,0.02125988,0.07228791,0.001864519,0.001659993,0.000249341,0.0006754896,0.03205441],"genre_scores_gemma":[0.9172496,0.006341489,0.005536784,0.0006180255,0.000507215,0.0005957546,0.0003073153,0.0001742419,0.06866959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5846018,"threshold_uncertainty_score":0.9999542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3021671357228289,"score_gpt":0.527272048142313,"score_spread":0.225104912419484,"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."}}