{"id":"W1995822062","doi":"10.1037/a0013764","title":"Human judgments of positive and negative causal chains.","year":2009,"lang":"en","type":"article","venue":"Journal of Experimental Psychology Animal Behavior Processes","topic":"Child and Animal Learning Development","field":"Psychology","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Psychology; Contingency; Social psychology; Multiplicative function; Contingency table; Construct (python library); Negative information; Developmental psychology; Function (biology); Cognitive psychology; Statistics; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003449605,0.0002784018,0.0001187857,0.0004897203,0.0002858715,0.001226756,0.0002095615,0.0007446826,0.004862654],"category_scores_gemma":[0.05106974,0.0002320492,0.0001232525,0.000165982,0.001854093,0.001450866,0.0004961246,0.0006631466,0.000418342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002233403,"about_ca_system_score_gemma":0.0002124765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001054782,"about_ca_topic_score_gemma":0.001243846,"domain_scores_codex":[0.9982156,0.0008797001,0.0000702296,0.0003094485,0.0004653664,0.00005977831],"domain_scores_gemma":[0.9760228,0.01472781,0.004198061,0.002338776,0.001848622,0.0008639259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002170005,0.0006124931,0.4094447,0.0007379846,0.0003270271,0.001261257,0.05208176,0.006629952,0.1376534,0.0511539,0.009095476,0.3288321],"study_design_scores_gemma":[0.0003040135,0.003005574,0.6927001,0.0004047639,0.0001677297,0.006968657,0.02193103,0.02787904,0.04627689,0.1630816,0.03680753,0.0004730042],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9662546,0.0003225662,0.01329498,0.0002399796,0.00003299054,0.00004167814,0.000123804,0.00009575744,0.01959365],"genre_scores_gemma":[0.9945156,0.00008912202,0.004360698,0.00007628719,0.000005369781,0.00001328188,0.0000834836,0.00001246604,0.0008437103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004862654,"threshold_uncertainty_score":0.01824349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03367329343239613,"score_gpt":0.393459594718687,"score_spread":0.3597863012862909,"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."}}