{"id":"W3155561803","doi":"10.21203/rs.3.rs-63053/v1","title":"Investigating Visualization Principles for Heritage Rehabilitation","year":2020,"lang":"en","type":"preprint","venue":"Research Square (Research Square)","topic":"Cultural Heritage Management and Preservation","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"King Saud University","keywords":"Visualization; Rehabilitation; Computer science; Data science; Psychology; Artificial intelligence; Neuroscience","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003075953,0.0007189846,0.0004337582,0.001695924,0.002231791,0.008197274,0.001343544,0.001414159,0.0168984],"category_scores_gemma":[0.007499109,0.0004540689,0.0009117585,0.001199575,0.005950649,0.005341683,0.003345362,0.001917935,0.0009815519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001582576,"about_ca_system_score_gemma":0.0009327307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002220924,"about_ca_topic_score_gemma":0.002311806,"domain_scores_codex":[0.9978662,0.00138308,0.00008907001,0.0002088243,0.0003129809,0.0001398136],"domain_scores_gemma":[0.9963821,0.002183625,0.0002401813,0.0004972032,0.0005096396,0.0001872086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005977127,0.00007379619,0.0006873456,0.0002303826,0.00002343627,0.0002661741,0.01108686,0.004330017,0.002299959,0.9229471,0.004614682,0.05338046],"study_design_scores_gemma":[0.00006590947,0.0001143217,0.0009489937,0.0004225959,0.00003823048,0.000558946,0.01026572,0.04534655,0.002607584,0.8100653,0.1295106,0.00005527452],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06126916,0.002821029,0.7524683,0.007275419,0.0003901805,0.0002781711,0.0001672113,0.001473303,0.1738573],"genre_scores_gemma":[0.6574093,0.000970359,0.3235609,0.0002903772,0.0001037134,0.0002374856,0.0001375893,0.0002621799,0.01702815],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0168984,"threshold_uncertainty_score":0.05653077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4842211052113559,"score_gpt":0.4465929787668233,"score_spread":0.03762812644453262,"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."}}