{"id":"W4306729264","doi":"10.1089/big.2022.0216","title":"Big Multimodal Data Analysis: Models and Performance Analysis","year":2022,"lang":"en","type":"editorial","venue":"Big Data","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Enthusiasm; Library science; Big data; Appropriation; Computer science; Artificial intelligence; Psychology","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":[0.02408408,0.005967851,0.006469678,0.009130632,0.004865053,0.01799103,0.006041907,0.02582814,0.01084478],"category_scores_gemma":[0.07775296,0.002327531,0.004124276,0.005040347,0.005844689,0.008882015,0.003076591,0.0282662,0.009902135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005697538,"about_ca_system_score_gemma":0.006941001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005756733,"about_ca_topic_score_gemma":0.01715856,"domain_scores_codex":[0.9808375,0.004723245,0.001968513,0.00176579,0.01014623,0.000558596],"domain_scores_gemma":[0.8905839,0.05991082,0.003964394,0.00366238,0.03588814,0.005990377],"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":[0.00001322752,0.000006612617,0.00001515845,0.0001305577,0.00002311731,0.00002791947,0.000007604292,0.00004282608,0.00001269904,0.0004630796,0.9963606,0.002896585],"study_design_scores_gemma":[0.0001128096,0.00003062911,0.0003757132,0.001262916,0.0001396458,0.0001796172,0.00006794245,0.001368516,0.00009995831,0.01505497,0.9812532,0.00005405569],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00002366758,0.009192929,0.0006555259,0.04659154,0.941967,0.0000223264,0.0001262082,0.00008431754,0.001336455],"genre_scores_gemma":[0.0003465684,0.004074452,0.0003014561,0.0119976,0.9778836,0.00002983997,0.00005308574,0.00008605989,0.005227406],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.02582814,"threshold_uncertainty_score":0.1273703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07704414705481485,"score_gpt":0.2817863195853462,"score_spread":0.2047421725305314,"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."}}