{"id":"W2775763605","doi":"","title":"L’utilisation de LinkedIn en France et au Canada : une analyse comparée","year":2018,"lang":"fr","type":"preprint","venue":"univOAK (4 institutions : Université de Strasbourg, Université de Haute Alsace, INSA Strasbourg, Bibliothèque Nationale et Universitaire de Strasbourg)","topic":"Management and Organizational Studies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political 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":[],"consensus_categories":[],"category_scores_codex":[0.006507592,0.0009124529,0.00085542,0.0127037,0.005125623,0.01372525,0.001566448,0.001620847,0.006916885],"category_scores_gemma":[0.02268475,0.0004410372,0.0008731792,0.03169158,0.002668939,0.00448968,0.00289344,0.001963392,0.0008053653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05865987,"about_ca_system_score_gemma":0.03571003,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9654754,"about_ca_topic_score_gemma":0.9516635,"domain_scores_codex":[0.9925807,0.001240214,0.0003250799,0.0009022615,0.003882066,0.001069667],"domain_scores_gemma":[0.9713798,0.01046903,0.002744708,0.001229131,0.01264074,0.001536548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008850105,0.0004633111,0.427923,0.001128811,0.0007801249,0.0018566,0.06656022,0.004675352,0.002779416,0.05703907,0.02054459,0.4153645],"study_design_scores_gemma":[0.00004686402,0.0001561127,0.6353366,0.001615103,0.0005100048,0.001084055,0.05087907,0.003997426,0.003502776,0.002474652,0.300193,0.000204288],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8889116,0.01804639,0.004341852,0.00479652,0.0001475605,0.0001409001,0.007239443,0.0002499498,0.07612568],"genre_scores_gemma":[0.9457406,0.01197121,0.004760711,0.0006543532,0.00005970282,0.00009058653,0.003969555,0.0002652086,0.03248803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05865987,"threshold_uncertainty_score":0.4256091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01337233643868179,"score_gpt":0.2271212712866549,"score_spread":0.2137489348479731,"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."}}