{"id":"W4403718294","doi":"10.1037/pspa0000409","title":"The bigger the problem the littler: When the scope of a problem makes it seem less dangerous.","year":2024,"lang":"en","type":"article","venue":"Journal of Personality and Social Psychology","topic":"Optimism, Hope, and Well-being","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"University of Chicago","keywords":"Scope (computer science); Psychology; Social psychology; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003731529,0.0003585581,0.0004057766,0.001466428,0.001918102,0.004534545,0.000710104,0.002042535,0.01115374],"category_scores_gemma":[0.02219598,0.000271796,0.0006567089,0.0008625687,0.00583329,0.00695639,0.00323199,0.00436703,0.001291375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002174138,"about_ca_system_score_gemma":0.001651934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00211277,"about_ca_topic_score_gemma":0.004670457,"domain_scores_codex":[0.9975835,0.001250293,0.0001567728,0.000235343,0.0006082535,0.0001658693],"domain_scores_gemma":[0.9907177,0.003217334,0.003139575,0.0007053653,0.001035533,0.00118455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005497496,0.0006791769,0.2519267,0.002748856,0.0004975366,0.00167605,0.1059636,0.0003972852,0.001945199,0.07104797,0.2254267,0.3371411],"study_design_scores_gemma":[0.0001800624,0.0007165452,0.3946088,0.003419447,0.0005746319,0.005761785,0.2520755,0.001376791,0.001414387,0.1797827,0.159847,0.0002423446],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.46872,0.02761133,0.01059985,0.2665133,0.004457602,0.0003866054,0.001800606,0.0003169643,0.2195938],"genre_scores_gemma":[0.9677374,0.004406041,0.004072801,0.0160284,0.0003376372,0.0001103569,0.0003580507,0.0000558822,0.006893408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01115374,"threshold_uncertainty_score":0.03731292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05078415602238673,"score_gpt":0.359856121919594,"score_spread":0.3090719658972073,"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."}}