{"id":"W2141750152","doi":"10.1145/2463676.2463679","title":"Peckalytics","year":2013,"lang":"en","type":"article","venue":"","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; World Wide Web; Analytics; Social media; Data science; Graph; Scale (ratio); Information retrieval","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":[0.001007193,0.001227415,0.001008632,0.002115777,0.0008533786,0.00488383,0.003307237,0.001086884,0.06533748],"category_scores_gemma":[0.008409732,0.0009016774,0.001102866,0.002881151,0.0007650134,0.008098666,0.004729357,0.001869309,0.05655227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001124975,"about_ca_system_score_gemma":0.001813092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002835432,"about_ca_topic_score_gemma":0.002560609,"domain_scores_codex":[0.9984149,0.0001609708,0.0001687606,0.000362553,0.0006880781,0.0002047942],"domain_scores_gemma":[0.9976622,0.0005032741,0.0001877859,0.00102309,0.0004535128,0.000170235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001195194,0.0002800577,0.006040575,0.001789669,0.0001882745,0.0007471239,0.0005460841,0.01330282,0.01092157,0.08242483,0.5027527,0.3798112],"study_design_scores_gemma":[0.0002082922,0.0001197487,0.003220437,0.0002144962,0.00007179546,0.001490211,0.0001517349,0.08930729,0.02104091,0.06898605,0.8149875,0.0002015842],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0198554,0.00327668,0.3912733,0.001514233,0.0009101236,0.001120443,0.07339329,0.3633665,0.1452901],"genre_scores_gemma":[0.2678556,0.005856884,0.3894081,0.00216599,0.000779977,0.001870502,0.1706788,0.04926451,0.1121196],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06533748,"threshold_uncertainty_score":0.2185757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005382890208118038,"score_gpt":0.2233687808144667,"score_spread":0.2179858906063487,"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."}}