{"id":"W4237479950","doi":"10.4000/books.pum.11798","title":"Remerciements","year":2017,"lang":"fr","type":"book-chapter","venue":"Presses de l’Université de Montréal eBooks","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008138031,0.001219319,0.001281588,0.00372582,0.003976753,0.008302925,0.002699927,0.002027402,0.2174044],"category_scores_gemma":[0.04757205,0.0004106757,0.0007670859,0.003285082,0.002141021,0.006204402,0.00648858,0.005156107,0.1291874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008624492,"about_ca_system_score_gemma":0.01003502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006475777,"about_ca_topic_score_gemma":0.01178155,"domain_scores_codex":[0.9874744,0.002128881,0.0005439947,0.001508046,0.007552503,0.0007921079],"domain_scores_gemma":[0.967212,0.003539708,0.001057371,0.004568763,0.01857448,0.005047653],"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":[0.00003174204,0.00002423352,0.0002142758,0.0001806166,0.000007011069,0.00018518,0.002167337,0.00009930742,0.0003967704,0.05502424,0.8765991,0.0650701],"study_design_scores_gemma":[0.000001497935,0.000003975453,0.00008495348,0.00009462018,0.000001493308,0.00006846003,0.0002201937,0.00001466848,0.00005859193,0.001683807,0.9977639,0.00000389415],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003343986,0.02793064,0.007832125,0.1107904,0.08430859,0.0003633754,0.005281509,0.001615547,0.7585339],"genre_scores_gemma":[0.01229605,0.005904762,0.003306729,0.004883334,0.005407142,0.0001667446,0.001516375,0.000963085,0.9655559],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7825956,"threshold_uncertainty_score":0.7272903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02433153530653155,"score_gpt":0.2326724947884227,"score_spread":0.2083409594818912,"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."}}