{"id":"W4255612408","doi":"10.1007/978-1-4939-7131-2_101105","title":"Social Content Search","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Content (measure theory); Information retrieval; Computer science; Mathematics","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":[0.0006453992,0.000659985,0.0005421175,0.004196726,0.001359721,0.003929942,0.0008590995,0.001276309,0.04459484],"category_scores_gemma":[0.003655895,0.0003126569,0.0004722738,0.005190604,0.001003968,0.008020017,0.002122872,0.0007884559,0.02412587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001557052,"about_ca_system_score_gemma":0.001059984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002331568,"about_ca_topic_score_gemma":0.003544112,"domain_scores_codex":[0.9992261,0.0001667774,0.00002926235,0.0001278511,0.0003702582,0.00007979921],"domain_scores_gemma":[0.9988384,0.000536213,0.00006653271,0.0002268603,0.0002471709,0.00008486412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006877881,0.0001155613,0.00097018,0.000525618,0.00004324558,0.0001254959,0.0006077248,0.001148366,0.003143478,0.2553648,0.1745546,0.5633321],"study_design_scores_gemma":[0.00001532422,0.00005150209,0.001505754,0.0002944795,0.00004736092,0.0007330091,0.0006499789,0.01306969,0.004293629,0.1318484,0.847454,0.00003699189],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0211122,0.01594088,0.06295539,0.005946816,0.001152911,0.0002751776,0.001801229,0.001836552,0.8889788],"genre_scores_gemma":[0.225969,0.01589021,0.03717563,0.001499436,0.002192124,0.0002312388,0.004296729,0.000812844,0.7119328],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04459484,"threshold_uncertainty_score":0.1491845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1461267985629524,"score_gpt":0.2956212185535082,"score_spread":0.1494944199905558,"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."}}