{"id":"W4294583244","doi":"10.31234/osf.io/cj2nx","title":"Study protocol: Social Health Impact of Network Effects (SHINE) Study","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Mental Health Research Topics","field":"Psychology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; McGill University","funders":"Army Research Office; John D. and Catherine T. MacArthur Foundation; Alfred P. Sloan Foundation; Natural Sciences and Engineering Research Council of Canada; Paul G. Allen Family Foundation; National Institute on Drug Abuse; Canada First Research Excellence Fund; Mind and Life Institute; McGill University; Social Sciences and Humanities Research Council of Canada; National Cancer Institute; National Science Foundation","keywords":"Psychology; Social network (sociolinguistics); Context (archaeology); Social network analysis; Social psychology; Feeling; Cognitive psychology; Computer science; Geography; Social media","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0254247,0.002871447,0.004324292,0.001937147,0.00374596,0.004131007,0.003255527,0.004639152,0.152215],"category_scores_gemma":[0.04676828,0.003160844,0.002962515,0.002208197,0.002097631,0.003498144,0.002965826,0.005555101,0.0307341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004003011,"about_ca_system_score_gemma":0.01840428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008928874,"about_ca_topic_score_gemma":0.01440098,"domain_scores_codex":[0.9912229,0.003864945,0.001497893,0.001805254,0.0009406988,0.000668304],"domain_scores_gemma":[0.9752643,0.007315517,0.003320588,0.005267009,0.007348286,0.00148428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.1547712,0.01397285,0.009974251,0.04393437,0.002841054,0.001444762,0.004658553,0.003765313,0.002447052,0.02364865,0.6069668,0.1315752],"study_design_scores_gemma":[0.1666689,0.01144762,0.03194656,0.01966985,0.001326845,0.0003688502,0.002545707,0.003158999,0.001506025,0.02468096,0.7360836,0.0005960394],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.005457432,0.0004212932,0.005692383,0.001057621,0.0009419998,0.9430359,0.03833997,0.0003842574,0.004669071],"genre_scores_gemma":[0.001895466,0.00005898838,0.002486477,0.0003766521,0.00004922214,0.9923946,0.001729383,0.00002700131,0.000982189],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.152215,"threshold_uncertainty_score":0.50921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2143540704437266,"score_gpt":0.6290929599430143,"score_spread":0.4147388894992876,"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."}}