{"id":"W6906492772","doi":"10.17605/osf.io/wqn9r","title":"Priming: Experimental Design and Reliability","year":2017,"lang":"en","type":"article","venue":"OSF Preprints (OSF Preprints)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003955498,0.0001808334,0.0003190671,0.0000582783,0.0004493572,0.0002170372,0.0006140762,0.000135042,0.1694031],"category_scores_gemma":[0.0009262845,0.0002367726,0.00009145182,0.00001678647,0.000258987,0.0005608458,0.0009086959,0.0001659211,0.4670058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002763222,"about_ca_system_score_gemma":0.0000162575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002533626,"about_ca_topic_score_gemma":0.000002620891,"domain_scores_codex":[0.9976711,0.00007460965,0.0005131047,0.00144404,0.00004406742,0.0002530831],"domain_scores_gemma":[0.996664,0.0001073967,0.0004545953,0.002628314,0.00000930397,0.0001364079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008198462,0.0004504434,0.9643772,0.00003865421,0.00007555879,0.000004513135,0.001819204,0.001714368,0.001523128,0.02173459,0.003844792,0.004335549],"study_design_scores_gemma":[0.001036293,0.000003604409,0.9148414,0.0000184292,0.00001399412,0.00001176479,0.0001412623,0.006743424,0.01359425,0.03695863,0.02615343,0.0004835691],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6658469,0.000007474613,0.006681995,0.0002570393,0.0002043728,0.0004461608,0.000008415905,0.00002905994,0.3265185],"genre_scores_gemma":[0.9522984,0.0001079135,0.005348767,0.00007822418,0.00004022071,0.0001094083,0.000004734623,0.00002365773,0.04198869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2976027,"threshold_uncertainty_score":0.9655308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08765560225340076,"score_gpt":0.254685500067477,"score_spread":0.1670298978140762,"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."}}