{"id":"W7055943846","doi":"","title":"Diversité et recommandation : une investigation sur l’apport de la fouille d’opinions pour la distinction d’articles d’opinion dans une controverse médiatique","year":2019,"lang":"fr","type":"other","venue":"Open MIND","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Qualitative analysis; Order (exchange)","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":[0.1032953,0.0007633814,0.0008180326,0.01517075,0.01183173,0.03253095,0.003207864,0.007217553,0.01572259],"category_scores_gemma":[0.3689283,0.001200251,0.001191794,0.013592,0.01998846,0.03234089,0.008412361,0.008959057,0.004476214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01694745,"about_ca_system_score_gemma":0.01657044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01536469,"about_ca_topic_score_gemma":0.01522169,"domain_scores_codex":[0.8516958,0.07908704,0.0102314,0.007406837,0.04841092,0.003167939],"domain_scores_gemma":[0.3903865,0.4703972,0.02973968,0.01973356,0.08528659,0.004456562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003155424,0.0001074432,0.01349886,0.004478537,0.0001666483,0.001273281,0.2646233,0.0002747432,0.00202669,0.3918177,0.1340719,0.1873454],"study_design_scores_gemma":[0.00004384024,0.00009812872,0.008356447,0.004814093,0.0001301608,0.0007089056,0.08230789,0.0006342259,0.001474003,0.03249747,0.8688146,0.0001202254],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08185802,0.03224316,0.02819805,0.3817992,0.01000185,0.0007462378,0.00118861,0.0004662934,0.4634986],"genre_scores_gemma":[0.8117449,0.02661109,0.02051321,0.05754906,0.009006293,0.001386299,0.001017735,0.001119141,0.07105222],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1032953,"threshold_uncertainty_score":0.5462845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02526502057700153,"score_gpt":0.2687381426037388,"score_spread":0.2434731220267373,"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."}}