{"id":"W7034177269","doi":"","title":"Transfert de connaissances dans les entreprises multinationales : efficacitÃ© et influence des facteurs contextuels","year":2012,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Technology transfer; Multitude; Legal action","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.006472689,0.0007242181,0.0006644403,0.001327001,0.002588882,0.007507177,0.00094077,0.00146092,0.01912764],"category_scores_gemma":[0.01557857,0.0003238144,0.00062109,0.002609789,0.002602496,0.006274369,0.003648442,0.002351698,0.0009450953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005919046,"about_ca_system_score_gemma":0.004423331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02026472,"about_ca_topic_score_gemma":0.0364382,"domain_scores_codex":[0.9950594,0.002544912,0.0001919967,0.0006525633,0.001020697,0.0005303724],"domain_scores_gemma":[0.9826756,0.01097044,0.00293069,0.0006778452,0.001812575,0.0009328148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006588375,0.001213494,0.3723967,0.00303191,0.0006383535,0.002308491,0.1132349,0.003954822,0.004968948,0.2463196,0.00534038,0.2459337],"study_design_scores_gemma":[0.0001426843,0.0008016792,0.5221027,0.002393903,0.0008670377,0.0005762168,0.2167976,0.005053056,0.006324114,0.07191651,0.1728499,0.0001745563],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8459248,0.008117036,0.006156355,0.01045995,0.0001796645,0.0002104509,0.000310608,0.00004377877,0.1285973],"genre_scores_gemma":[0.9829685,0.003916587,0.002589957,0.0006838233,0.00005847079,0.0001285799,0.0001159632,0.00002306363,0.009515015],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02026472,"threshold_uncertainty_score":0.06398833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006937868784797991,"score_gpt":0.1682544726328329,"score_spread":0.1613166038480349,"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."}}