{"id":"W1974704601","doi":"10.1503/cmaj.071527","title":"In search of trust","year":2007,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Social Capital and Networks","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Politics; Public trust; Blind trust; Computer science; World Wide Web; Internet privacy; Data science; Public relations; Political science; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01403952,0.0006220132,0.0009271168,0.001546482,0.009787744,0.01672992,0.001288192,0.009417117,0.01670195],"category_scores_gemma":[0.0419603,0.0003930977,0.0005103418,0.001508569,0.03641883,0.02539915,0.009962755,0.01361391,0.004386618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01029758,"about_ca_system_score_gemma":0.01079328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008818584,"about_ca_topic_score_gemma":0.006884413,"domain_scores_codex":[0.9826173,0.009113179,0.0005268198,0.002043224,0.003337363,0.002362196],"domain_scores_gemma":[0.978306,0.008169932,0.002663396,0.002538802,0.003509589,0.004812256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001429215,0.000009209501,0.0004033464,0.00004727816,0.00001574782,0.00008513957,0.004838438,0.00007688888,0.00003233818,0.9409024,0.04578853,0.0077865],"study_design_scores_gemma":[0.00001704896,0.00002995223,0.0003974678,0.0003165486,0.00001104529,0.0001762211,0.006527358,0.0002677341,0.00008491423,0.6378315,0.3543174,0.00002274829],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.007742229,0.01284411,0.0143397,0.5930634,0.004639611,0.00005555821,0.0001017496,0.00009602473,0.3671176],"genre_scores_gemma":[0.7888789,0.009340183,0.003673968,0.09935999,0.003237554,0.000164589,0.0001301587,0.0001984018,0.09501626],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01672992,"threshold_uncertainty_score":0.07471454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01293964370029488,"score_gpt":0.2982314537440486,"score_spread":0.2852918100437538,"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."}}