{"id":"W2114454762","doi":"","title":"Social Network Opinion and Posts Mining for Community Preference Discovery","year":2013,"lang":"en","type":"article","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Preference; Data science; Computer science; World Wide Web; Internet privacy; Public relations; Business; Political science; Economics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006973715,0.0001682744,0.0002403786,0.0001145573,0.001290787,0.000293961,0.001447086,0.0001145507,0.0000213508],"category_scores_gemma":[0.0000421216,0.0002003737,0.00009465214,0.0003008347,0.0001624653,0.004844891,0.001694877,0.0002778294,0.00002291386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004388456,"about_ca_system_score_gemma":0.00003134744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001565011,"about_ca_topic_score_gemma":0.00008357662,"domain_scores_codex":[0.9986712,0.0002149373,0.0001402623,0.0003424629,0.0002512812,0.0003798309],"domain_scores_gemma":[0.9989159,0.0001978674,0.0001820067,0.0004824246,0.0001164046,0.0001053605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006439264,0.001156683,0.4410977,0.001348654,0.0009433942,0.00002507771,0.03693636,0.0001270706,0.005875185,0.1399667,0.06721666,0.3046626],"study_design_scores_gemma":[0.001990874,0.0003259194,0.9707755,0.0001356793,0.00004567956,0.000005116032,0.001997562,0.003480132,0.0001459153,0.0143716,0.006144185,0.0005818707],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9648644,0.00007380268,0.0316765,0.001452954,0.0002381698,0.000465035,0.00003792763,0.00009225168,0.001099015],"genre_scores_gemma":[0.9713539,0.00002441576,0.02645661,0.0001467589,0.0001039516,0.000001941807,0.00007548192,0.00001087356,0.001826046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5296777,"threshold_uncertainty_score":0.9927821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05535008070530805,"score_gpt":0.2448965180359668,"score_spread":0.1895464373306587,"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."}}