{"id":"W6969479034","doi":"10.5683/sp3/hnhoak","title":"Data Visualizations","year":2018,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Visualization; Data visualization; Information visualization; Feature (linguistics); Data collection","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003326648,0.004133585,0.001512861,0.009578972,0.001299849,0.003629359,0.002347573,0.001356104,0.07779973],"category_scores_gemma":[0.02108967,0.0009061564,0.002792551,0.007141764,0.0007028131,0.002301903,0.003791016,0.002813564,0.06243986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001329768,"about_ca_system_score_gemma":0.003537563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01445409,"about_ca_topic_score_gemma":0.03255713,"domain_scores_codex":[0.9968809,0.0005782748,0.0003917567,0.0008764109,0.0009076178,0.0003651264],"domain_scores_gemma":[0.9919251,0.002456381,0.000462132,0.002455205,0.002088733,0.0006125721],"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":[0.00008447294,0.00003300514,0.0007535036,0.0004135706,0.00004931701,0.0000399044,0.00009134931,0.000362819,0.0003318411,0.0007776481,0.9893952,0.007667277],"study_design_scores_gemma":[0.000272798,0.00004664132,0.003303226,0.0003166855,0.00009027989,0.000154029,0.0001865701,0.002823164,0.002078102,0.006365875,0.9842737,0.00008904406],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001156106,0.0002350531,0.002710814,0.0004652507,0.0003510599,0.000131569,0.9588906,0.03190864,0.004150847],"genre_scores_gemma":[0.004393379,0.0002133263,0.01322444,0.0002004739,0.00008869301,0.0006741597,0.9730198,0.005480501,0.002705198],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07779973,"threshold_uncertainty_score":0.2602661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08582968130430091,"score_gpt":0.3832100357202394,"score_spread":0.2973803544159385,"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."}}