{"id":"W7057947110","doi":"","title":"La lettre de crÃ©dit commerciale : facilitÃ© de crÃ©dit dÃ©suÃ¨te ou incomprise ?","year":2012,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Power (physics); Trade volume; ESPACE","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004293577,0.0006408732,0.0006907057,0.00007519522,0.0001508909,0.00005627412,0.0006281523,0.0003071247,0.004839409],"category_scores_gemma":[0.00001322369,0.0007421137,0.0001004575,0.00009523066,0.0002281371,0.000217611,0.0003095706,0.0008230062,9.78788e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008497607,"about_ca_system_score_gemma":0.001659767,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0511474,"about_ca_topic_score_gemma":0.1357616,"domain_scores_codex":[0.9965296,0.0002482311,0.0005456104,0.0003975334,0.001336998,0.0009420273],"domain_scores_gemma":[0.9978492,0.0006704141,0.0002154699,0.0005624684,0.000001049364,0.000701379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000381918,0.0002094622,0.03799105,0.005421535,0.0007254079,0.001005322,0.001717606,0.0005922025,0.02169894,0.1883845,0.3556199,0.3862522],"study_design_scores_gemma":[0.0003233098,0.00006910783,0.01902148,0.0005340363,0.00009389225,0.00003944646,0.0007026141,0.001694559,0.02604693,0.0007135514,0.95003,0.0007310942],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01124988,0.002907784,0.001136207,0.006940363,0.0005324744,0.0004390769,0.0009994693,0.0001049288,0.9756898],"genre_scores_gemma":[0.5337579,0.001326226,0.01526807,0.002080999,0.0006478775,0.00004472879,0.00003803888,0.0003076557,0.4465285],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5944101,"threshold_uncertainty_score":0.999503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003943449384796028,"score_gpt":0.1495275524056805,"score_spread":0.1455841030208845,"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."}}