{"id":"W6980927863","doi":"","title":"Data visualization course","year":2022,"lang":"en","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Visualization; Data visualization; Course (navigation); Information visualization; Data collection; Data exploration","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003937298,0.002238593,0.001978487,0.003779668,0.001291287,0.004469252,0.003544834,0.001816489,0.6407682],"category_scores_gemma":[0.01621787,0.001805863,0.001842676,0.003385956,0.0006185548,0.004186041,0.004126451,0.003948609,0.4404613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001770481,"about_ca_system_score_gemma":0.004156739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008957338,"about_ca_topic_score_gemma":0.009279242,"domain_scores_codex":[0.9983755,0.0002034783,0.0001439408,0.0004173748,0.0006678373,0.0001918855],"domain_scores_gemma":[0.9910359,0.003150657,0.0003549079,0.002459815,0.002027545,0.0009711664],"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":[0.00006169885,0.00005381203,0.0002297174,0.0001594801,0.00001397871,0.00002598452,0.0000613212,0.0001297857,0.0004166814,0.001619354,0.9780568,0.01917136],"study_design_scores_gemma":[0.000217251,0.00003257846,0.002110576,0.0001966409,0.00002337373,0.00007220773,0.00008508499,0.003020937,0.004046279,0.01139363,0.9787379,0.00006366982],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001017402,0.0001500045,0.04387318,0.002345246,0.0006769218,0.000743745,0.5289676,0.3574279,0.064798],"genre_scores_gemma":[0.01251734,0.0005139984,0.1012513,0.002460137,0.0004729556,0.003629804,0.5460088,0.1740717,0.159074],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6407682,"threshold_uncertainty_score":0.5124005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03134632646580147,"score_gpt":0.3244676900968244,"score_spread":0.2931213636310229,"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."}}