{"id":"W4251063661","doi":"10.1007/978-1-4939-7131-2_101113","title":"Social Indexing","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Search engine indexing; Computer science; 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":[0.0008241962,0.001214202,0.000962031,0.007296417,0.002009685,0.005259452,0.001456343,0.0009725764,0.1747866],"category_scores_gemma":[0.003846622,0.0004230131,0.000885426,0.009046621,0.0008762414,0.006949838,0.00340196,0.001134654,0.1514692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001220838,"about_ca_system_score_gemma":0.001594047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001377751,"about_ca_topic_score_gemma":0.002677962,"domain_scores_codex":[0.9987909,0.0001558536,0.00008738284,0.0001865631,0.0006977962,0.00008149312],"domain_scores_gemma":[0.9986863,0.0002967937,0.00006693783,0.0004253275,0.0004237752,0.0001008648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002468011,0.00004332626,0.00009517475,0.0004387183,0.00001524008,0.00003094203,0.0001164317,0.0002856836,0.002490087,0.055095,0.3490339,0.5923309],"study_design_scores_gemma":[0.000006172639,0.00001581875,0.0002329511,0.0001156679,0.00001288983,0.0001790126,0.00009630518,0.001447113,0.002000542,0.04281057,0.9530656,0.00001736363],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.002958257,0.01232427,0.1308194,0.004126187,0.005106002,0.0006302004,0.009452088,0.01120595,0.8233777],"genre_scores_gemma":[0.02692848,0.01560868,0.08545565,0.001378609,0.004939308,0.0005150433,0.02315373,0.003141616,0.8388789],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1747866,"threshold_uncertainty_score":0.5847193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02938676022444466,"score_gpt":0.2976400481211125,"score_spread":0.2682532878966679,"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."}}