{"id":"W1998537526","doi":"10.1145/1842752.1842783","title":"Integrating recommender information in social ecosystems decisions","year":2010,"lang":"en","type":"article","venue":"","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Homophily; Recommender system; Computer science; Process (computing); Originality; Function (biology); Data science; Machine learning; Information retrieval; Artificial intelligence; World Wide Web; 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":[0.004424646,0.0004793002,0.001021474,0.002481764,0.0009575713,0.003094835,0.001438289,0.002091064,0.001731348],"category_scores_gemma":[0.01797887,0.0006157015,0.0005787649,0.00186292,0.001057116,0.004288045,0.001304861,0.0009397737,0.0003151672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001575061,"about_ca_system_score_gemma":0.001261518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01087773,"about_ca_topic_score_gemma":0.02235789,"domain_scores_codex":[0.9979464,0.001020276,0.0001118933,0.0003442371,0.0004320836,0.0001450459],"domain_scores_gemma":[0.991969,0.005903418,0.0005937555,0.0004643134,0.0008451398,0.0002243843],"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":[0.0001699817,0.0002756656,0.02566401,0.0001977879,0.0003338183,0.0004066123,0.0009172815,0.6049208,0.001098318,0.1412399,0.001953198,0.2228225],"study_design_scores_gemma":[0.00002059912,0.00008034797,0.003925215,0.00003298257,0.00006026675,0.0000704987,0.000273441,0.9263364,0.0005074746,0.0663681,0.002274924,0.00004968773],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2310023,0.001413942,0.7495712,0.002190605,0.00006659637,0.0001759287,0.0002175979,0.0004311966,0.01493062],"genre_scores_gemma":[0.9195863,0.0003737799,0.07789759,0.00007526229,0.0000363221,0.00005837546,0.00008119453,0.00002133064,0.001869818],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01087773,"threshold_uncertainty_score":0.02340007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01640534006249908,"score_gpt":0.290943028125358,"score_spread":0.2745376880628589,"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."}}