{"id":"W4312394823","doi":"10.2139/ssrn.4285471","title":"Peer Recognition and Content Provision Online","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University; Université Laval","funders":"","keywords":"Content (measure theory); Internet privacy; Business; Computer science; Psychology; 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":[0.003390227,0.0004627751,0.0007525112,0.003923845,0.003514049,0.0102088,0.001934265,0.002679335,0.05188979],"category_scores_gemma":[0.0249499,0.0005087357,0.0005239967,0.004351227,0.00206113,0.01592612,0.004534459,0.001826327,0.02644738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001663774,"about_ca_system_score_gemma":0.003812699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003763329,"about_ca_topic_score_gemma":0.003027883,"domain_scores_codex":[0.9935995,0.001578507,0.0003638604,0.0008163929,0.003116779,0.0005249114],"domain_scores_gemma":[0.9832678,0.004390116,0.001281433,0.004956871,0.004867268,0.001236592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002122717,0.0003365432,0.002682434,0.0003637134,0.00003921427,0.0005243765,0.002729421,0.001836985,0.008630362,0.4174058,0.09265812,0.4725808],"study_design_scores_gemma":[0.00003849264,0.00009145432,0.003618465,0.0002338905,0.00006553096,0.0006806495,0.002694397,0.01534232,0.01745368,0.3126437,0.6470436,0.00009363185],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05981171,0.003086392,0.2122563,0.01860674,0.003338671,0.0007539238,0.001653685,0.006679809,0.6938128],"genre_scores_gemma":[0.5187811,0.002521101,0.08748931,0.000894797,0.001877644,0.0002399595,0.002392952,0.001915144,0.383888],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05188979,"threshold_uncertainty_score":0.1735886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04610729893044851,"score_gpt":0.2535491211199825,"score_spread":0.2074418221895339,"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."}}