{"id":"W3008018560","doi":"","title":"Emerging Trends in IS Research: A Co-word Analysis (2007–16) / Tendances émergentes en recherche en systèmes d'information : une analyse de cooccurrents (2007–16)","year":2018,"lang":"fr","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Information Systems Theories and Implementation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Word (group theory); Humanities; Political science; Sociology; Regional science; Library science; Computer science; Linguistics; Art; Philosophy","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":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01045689,0.0002802201,0.0006055405,0.01556525,0.003175637,0.00854078,0.000885956,0.001049844,0.001869482],"category_scores_gemma":[0.03416351,0.0003999843,0.0006992695,0.03591226,0.003792917,0.008942835,0.005254759,0.001962189,0.0003258658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006135134,"about_ca_system_score_gemma":0.01061701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0222605,"about_ca_topic_score_gemma":0.03520096,"domain_scores_codex":[0.9849925,0.003604564,0.00353511,0.001539247,0.00510417,0.001224487],"domain_scores_gemma":[0.925652,0.03888866,0.01588772,0.002213135,0.0142623,0.003096333],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003173478,0.00008597383,0.5607993,0.001364204,0.0001692235,0.000725047,0.3335215,0.000157095,0.002864107,0.009799143,0.002142684,0.0880544],"study_design_scores_gemma":[0.00001017085,0.0001052718,0.6487415,0.0007053962,0.00007582761,0.0008159984,0.3196528,0.0004519817,0.001159301,0.001643562,0.02658586,0.0000523658],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856877,0.004663475,0.001260183,0.002193997,0.00008281257,0.00006031642,0.0009029651,0.00001821479,0.005130444],"genre_scores_gemma":[0.9929417,0.002615752,0.001994603,0.0001505283,0.00005817074,0.00009166881,0.001094893,0.0000382939,0.001014392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9895431,"threshold_uncertainty_score":0.05530196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1274389094370427,"score_gpt":0.4142482560103065,"score_spread":0.2868093465732638,"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."}}