{"id":"W6963086733","doi":"10.17605/osf.io/f2pj6","title":"iCARE - Sampling-Based Differences in the Canadian Samples","year":2021,"lang":"en","type":"other","venue":"Open Science Framework","topic":"Survey Methodology and Nonresponse","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Snowball sampling; Sample (material); Population; Pandemic; Upload; Sampling (signal processing); Polling","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.06325928,0.001236749,0.001191059,0.005321528,0.01030684,0.004082159,0.005593372,0.000968243,0.01891512],"category_scores_gemma":[0.1243366,0.001071139,0.001692661,0.01006683,0.003190432,0.001325227,0.004754462,0.001542533,0.001638107],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05810758,"about_ca_system_score_gemma":0.09553686,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9857798,"about_ca_topic_score_gemma":0.987132,"domain_scores_codex":[0.9247856,0.02528027,0.003603428,0.008765526,0.0279003,0.009664875],"domain_scores_gemma":[0.9578071,0.008592566,0.003018936,0.00790123,0.02072845,0.001951638],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002127085,0.0008039168,0.3999433,0.002654269,0.0009479476,0.0006762779,0.06685833,0.002241974,0.004642685,0.1160354,0.1925589,0.2105099],"study_design_scores_gemma":[0.0004623032,0.0005556878,0.6943122,0.0008733054,0.0004239135,0.0003276875,0.02225366,0.003691469,0.005312335,0.005537143,0.2659793,0.0002710373],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.453505,0.003606096,0.1023213,0.009733963,0.002175327,0.05368125,0.1630034,0.001631361,0.2103423],"genre_scores_gemma":[0.7751494,0.00127314,0.09691271,0.00539422,0.0001642024,0.02827799,0.04243398,0.0009354826,0.04945887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9418924,"threshold_uncertainty_score":0.421602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.469390946165557,"score_gpt":0.5128754150981023,"score_spread":0.04348446893254532,"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."}}