{"id":"W3161149761","doi":"10.31234/osf.io/n3teh","title":"Parenting Online: Analyzing Information Provided by Parenting-Focused Twitter Accounts","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Child Development and Digital Technology","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Michigan Institute for Data Science, University of Michigan; National Science Foundation","keywords":"Entertainment; Quarter (Canadian coin); Social media; Psychology; Social psychology; Developmental psychology; Computer science; World Wide Web; Political science; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0004614909,0.0002690208,0.0003642088,0.0002530062,0.0003627754,0.001498027,0.0005971749,0.000539223,0.0004157197],"category_scores_gemma":[0.0007403545,0.0002702595,0.0001556212,0.0004375819,0.0001270976,0.001168908,0.001016274,0.0005484769,0.00005441028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001991274,"about_ca_system_score_gemma":0.0006692297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001418489,"about_ca_topic_score_gemma":0.001966356,"domain_scores_codex":[0.9977503,0.00006805353,0.0006808281,0.0004062532,0.0005784535,0.0005160463],"domain_scores_gemma":[0.9987165,0.0000759087,0.0004724182,0.0003315204,0.000308605,0.00009504709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002971068,0.0004842491,0.4229066,0.0005050831,0.0004896627,0.00001641399,0.04555707,0.00003330105,0.0001182012,0.005431373,0.1140784,0.4103499],"study_design_scores_gemma":[0.002476395,0.00004805621,0.04401861,0.001691106,0.0002677549,0.000004010301,0.09146234,0.0009454699,0.002762177,0.01096237,0.8405874,0.004774347],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9168371,0.0001963425,0.003398815,0.003119122,0.001196139,0.0006813462,0.00004203838,0.0008598507,0.07366925],"genre_scores_gemma":[0.9931496,0.0001351158,0.002167478,0.0006614908,0.0001683694,0.00003722242,0.001779773,0.0000154873,0.001885455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.726509,"threshold_uncertainty_score":0.999975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02923080095264693,"score_gpt":0.2989461555675219,"score_spread":0.269715354614875,"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."}}