{"id":"W1599627703","doi":"10.1017/s1930297500002825","title":"Cognition in the woods: Biases in probability judgments by search and rescue planners","year":2012,"lang":"en","type":"article","venue":"Judgment and Decision Making","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Subject (documents); Psychology; Unpacking; Social psychology; Wilderness; Cognitive psychology; Computer science; Linguistics","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":[0.002341493,0.0002611316,0.000238446,0.0006938166,0.0004166007,0.001535961,0.0002130358,0.0005591356,0.002964387],"category_scores_gemma":[0.02124221,0.0002950204,0.0002478553,0.0003011513,0.001435469,0.001172777,0.0006934653,0.0006021581,0.0002388023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003048594,"about_ca_system_score_gemma":0.0002804534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002901658,"about_ca_topic_score_gemma":0.002898,"domain_scores_codex":[0.998897,0.0005665356,0.00004442488,0.0001321878,0.0002667421,0.00009310457],"domain_scores_gemma":[0.9920062,0.004681427,0.001684619,0.0007640372,0.0003996942,0.0004640424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001846086,0.0007539046,0.8301755,0.0001799258,0.0002245239,0.0007583921,0.0500382,0.005508479,0.01788976,0.003864057,0.001428087,0.08733311],"study_design_scores_gemma":[0.0001014997,0.001205871,0.9475833,0.00007524914,0.00007237398,0.0006032388,0.02580596,0.01006338,0.00226498,0.01038847,0.001749236,0.00008653189],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983122,0.00003484307,0.0005073714,0.00006293022,0.000002876876,0.00000467086,0.000005929875,0.000004369251,0.00106476],"genre_scores_gemma":[0.9996117,0.00002779678,0.0002208225,0.00002415968,0.000003687069,0.000002128161,0.000006850395,0.000001052522,0.0001017523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002964387,"threshold_uncertainty_score":0.01238316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2396090586714311,"score_gpt":0.4301681761063678,"score_spread":0.1905591174349367,"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."}}