{"id":"W2785261305","doi":"10.3758/s13428-018-1016-9","title":"Reliability of the sliding scale for collecting affective responses to words","year":2018,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Color perception and design","field":"Psychology","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research and Innovation; Social Sciences and Humanities Research Council of Canada; National Institutes of Health; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Reliability (semiconductor); Scale (ratio); Computer science; Psychology; Reliability engineering; Cognitive psychology; Applied psychology; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01988444,0.0001110254,0.0002360906,0.0003104049,0.0006185489,0.0000367869,0.0004453919,0.0001379563,0.00133806],"category_scores_gemma":[0.008452976,0.00008247621,0.0001628231,0.00150658,0.0003982856,0.00004444928,0.0002401012,0.0003554156,0.00005764101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002174936,"about_ca_system_score_gemma":0.0001652896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003339844,"about_ca_topic_score_gemma":0.0001347574,"domain_scores_codex":[0.990524,0.007777303,0.0002938013,0.0004756021,0.000399938,0.0005293443],"domain_scores_gemma":[0.992117,0.005952988,0.00006357558,0.0008060952,0.0009156613,0.0001446237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.004408304,0.0006580487,0.06206504,0.00003112096,0.00001754337,0.000002175722,0.02791427,6.412455e-7,0.7012402,0.0006945721,0.01679766,0.1861704],"study_design_scores_gemma":[0.0006911883,0.001748313,0.8627777,0.00004352655,0.0000285509,0.000008462634,0.007890878,0.00003014923,0.1095926,0.0008205254,0.01620347,0.0001646145],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9544484,0.00001301951,0.03520846,0.000302977,0.0007465668,0.002560342,0.00002369374,0.00004304688,0.006653475],"genre_scores_gemma":[0.8754064,6.007995e-7,0.107904,0.00005366083,0.0001800519,0.001538541,4.497721e-7,0.00002640984,0.01488993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8007126,"threshold_uncertainty_score":0.9998993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4810218303105388,"score_gpt":0.6599140794620999,"score_spread":0.1788922491515611,"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."}}