{"id":"W4286518217","doi":"10.18280/ria.360311","title":"Ensemble Assisted Multi-Feature Learnt Social Media Link Prediction Model Using Machine Learning Techniques","year":2022,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Visvesvaraya Technological University","keywords":"Computer science; Artificial intelligence; Feature selection; Jaccard index; Support vector machine; Ensemble learning; Machine learning; Cosine similarity; Classifier (UML); Robustness (evolution); Pattern recognition (psychology); Data mining; Feature extraction","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0007265398,0.0006371618,0.0009411092,0.0007673195,0.0003558477,0.0007776479,0.001363129,0.0008456695,0.001230702],"category_scores_gemma":[0.00145248,0.0003118981,0.0007164812,0.0006877253,0.0002605871,0.001050172,0.0007219968,0.001066387,0.0004122808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005339081,"about_ca_system_score_gemma":0.0005323128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007263259,"about_ca_topic_score_gemma":0.006061224,"domain_scores_codex":[0.9996369,0.00005994026,0.00002144827,0.0001214055,0.0001034576,0.00005683354],"domain_scores_gemma":[0.9993563,0.0002620625,0.00009709138,0.00004315773,0.0002109259,0.00003036089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000521514,0.00008013516,0.002751544,0.00003510846,0.00009387494,0.0001318447,0.00004843045,0.9084116,0.001426707,0.002212285,0.001164291,0.08359189],"study_design_scores_gemma":[6.370494e-7,0.000006868151,0.00009439317,0.000001148283,0.000003647769,0.000005516346,0.000002008048,0.9993402,0.0001097722,0.0003585378,0.00007561933,0.000001614171],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0495774,0.0004551842,0.9465279,0.0002701402,0.00008810686,0.00004435347,0.0001506932,0.0006478412,0.002238367],"genre_scores_gemma":[0.9308944,0.0003012866,0.063263,0.0001356967,0.00008965369,0.0001602036,0.0003569766,0.00004234048,0.004756425],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007263259,"threshold_uncertainty_score":0.01444197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06147590036955676,"score_gpt":0.3010919865552362,"score_spread":0.2396160861856795,"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."}}