{"id":"W3024178312","doi":"","title":"LibGuides: Vancouver referencing guide (Online): Combining Multiple Sources to create a chart","year":2018,"lang":"en","type":"libguides","venue":"","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Chart; Computer science; Data science; Statistics; Mathematics","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":[0.004005407,0.0009914166,0.0007296052,0.0144405,0.005650384,0.01214561,0.001884965,0.001599329,0.1597594],"category_scores_gemma":[0.01913568,0.001206912,0.0004471353,0.02638017,0.001326127,0.005364787,0.004049319,0.002295333,0.09001098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005934027,"about_ca_system_score_gemma":0.03155849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4646679,"about_ca_topic_score_gemma":0.6672522,"domain_scores_codex":[0.9968832,0.0004147936,0.0002651442,0.000169336,0.002065362,0.0002021483],"domain_scores_gemma":[0.9848796,0.002102626,0.0004000533,0.001030969,0.01079124,0.0007956591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001693416,0.00001592742,0.0006597726,0.0001820167,0.000003533698,0.00004984718,0.0008494503,0.0001475667,0.0001829264,0.007343539,0.8936456,0.0969029],"study_design_scores_gemma":[0.000007009428,0.000003341829,0.0008831424,0.0002688348,0.000003847009,0.00003468723,0.0007525185,0.0002049794,0.0002419536,0.001862118,0.9957152,0.00002232355],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004076906,0.003203164,0.05549745,0.007897974,0.001744863,0.001913438,0.1279643,0.02289047,0.7748114],"genre_scores_gemma":[0.02091064,0.006990457,0.2128171,0.001204674,0.0003272656,0.002078493,0.1248604,0.01867384,0.6121371],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4646679,"threshold_uncertainty_score":0.9239264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0452140244650496,"score_gpt":0.3156912468491122,"score_spread":0.2704772223840626,"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."}}