{"id":"W2800811210","doi":"10.2196/resprot.8071","title":"Comparison of Online Survey Recruitment Platforms for Hard-to-Reach Pregnant Smoking Populations: Feasibility Study","year":2018,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Center for Undergraduate Research and Scholarship, Bowling Green State University; University of Pennsylvania","keywords":"Medicine; Medical education; Computer science; Data science; Family medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"nonrandomized_trial","genre":"protocol","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["metaresearch"],"domain":"methods","study_design":"design_other","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1134831,0.0009818526,0.001056189,0.00208077,0.001884271,0.002949917,0.001805189,0.001919715,0.007580247],"category_scores_gemma":[0.1559965,0.001180321,0.002606296,0.001543328,0.001779397,0.00491199,0.003974247,0.001799834,0.001764255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002149837,"about_ca_system_score_gemma":0.0073545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003072147,"about_ca_topic_score_gemma":0.004016738,"domain_scores_codex":[0.9131159,0.06303501,0.00775927,0.003148461,0.00930858,0.003632792],"domain_scores_gemma":[0.8891245,0.07108931,0.0119575,0.007169549,0.01584,0.00481919],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.05897876,0.07927056,0.5087011,0.00801828,0.001748306,0.0008821093,0.0486798,0.00198324,0.003821771,0.003428495,0.009743468,0.2747441],"study_design_scores_gemma":[0.01928112,0.2150114,0.6873298,0.002750323,0.001762682,0.0006551759,0.03718333,0.009772643,0.003362333,0.001834648,0.0206876,0.0003689806],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9317726,0.0002318307,0.006339177,0.0007774421,0.0001758151,0.05446999,0.0008840886,0.00009661533,0.005252424],"genre_scores_gemma":[0.8494976,0.0003841635,0.02247134,0.001103281,0.0001612761,0.1242532,0.001029082,0.00007165864,0.001028342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8865169,"threshold_uncertainty_score":0.6001633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9502907830135764,"score_gpt":0.7604436081568913,"score_spread":0.1898471748566851,"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."}}