{"id":"W6998992429","doi":"","title":"Canadian Legal Professionals' Information Activities: What Do They Do, and How Do They Tweet","year":2018,"lang":"fr","type":"article","venue":"eYLS (Yale Law School)","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Social media; Statistical analysis; Journalism; Information source (mathematics); Content analysis","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":[0.002215036,0.0003245494,0.0003185855,0.0101758,0.004411455,0.00442188,0.0009848286,0.000562741,0.004928592],"category_scores_gemma":[0.01643502,0.0003250643,0.0003617202,0.01320162,0.00164597,0.001697246,0.002125328,0.0005998659,0.0007658711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01729953,"about_ca_system_score_gemma":0.02446781,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9498103,"about_ca_topic_score_gemma":0.9704841,"domain_scores_codex":[0.9964896,0.0003520105,0.0001986304,0.0003569248,0.001985756,0.0006171394],"domain_scores_gemma":[0.991303,0.002022125,0.002269257,0.0002704769,0.003262496,0.0008726826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001521851,0.00003215625,0.8212679,0.0004953677,0.00009063683,0.0002156525,0.09068396,0.0001228553,0.0009952018,0.001608385,0.01423285,0.07010289],"study_design_scores_gemma":[0.000004162358,0.00001630804,0.9118348,0.000175094,0.00003433893,0.00007642007,0.05574332,0.0002873217,0.0004036127,0.0001653732,0.0312152,0.00004410698],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9433177,0.002227343,0.0008175571,0.003605628,0.00007321915,0.0002057763,0.01779701,0.0000640775,0.0318918],"genre_scores_gemma":[0.9822094,0.002253786,0.000908632,0.0003904081,0.00004649097,0.000134318,0.005349344,0.00002973074,0.008677772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05018967,"threshold_uncertainty_score":0.1255174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02742002648402889,"score_gpt":0.3210791602442313,"score_spread":0.2936591337602024,"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."}}