{"id":"W4392775866","doi":"10.3917/dm.043.0207","title":"Calibration internationale des échelles sémantiques","year":2006,"lang":"fr","type":"article","venue":"Décisions Marketing","topic":"Sensory Analysis and Statistical Methods","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","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":[0.03375854,0.001414036,0.001000815,0.005924531,0.0008301546,0.0047156,0.001393305,0.001238512,0.006793355],"category_scores_gemma":[0.1471827,0.0007704147,0.002203823,0.00520081,0.001706255,0.004122525,0.003291796,0.00256901,0.001951367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001943274,"about_ca_system_score_gemma":0.00135802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006155664,"about_ca_topic_score_gemma":0.004540863,"domain_scores_codex":[0.9552048,0.02302876,0.004281771,0.009227913,0.007339834,0.0009168828],"domain_scores_gemma":[0.8527442,0.1091281,0.005494827,0.01565252,0.01657619,0.0004041251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001114181,0.0003219279,0.1464291,0.001307863,0.001884141,0.0002122724,0.008550504,0.0369768,0.0295902,0.03609288,0.005305166,0.7322149],"study_design_scores_gemma":[0.0002101014,0.0007376607,0.3564088,0.0008331135,0.0008162084,0.000856325,0.009201306,0.3918242,0.06824095,0.105021,0.06542066,0.0004297672],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1598063,0.0007114114,0.8153026,0.0005423567,0.0001746442,0.0005776348,0.002555371,0.003368252,0.01696147],"genre_scores_gemma":[0.5711819,0.0002490583,0.4215847,0.0001508892,0.0000443827,0.001276256,0.002681759,0.0008278897,0.002003125],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03375854,"threshold_uncertainty_score":0.1785343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04580734846864752,"score_gpt":0.297136881228545,"score_spread":0.2513295327598975,"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."}}