{"id":"W3093773863","doi":"10.46290/cjok000004","title":"Pavlov’s Classical Conditioning","year":2020,"lang":"en","type":"article","venue":"Cascade Journal of Knowledge","topic":"Management and Marketing Education","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Classical conditioning; Conditioning; Field (mathematics); Computer science; Marketing; Psychology; Mathematics; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001584135,0.0004803435,0.0004326035,0.0004960934,0.0005710712,0.001747275,0.001041881,0.0008034704,0.01474896],"category_scores_gemma":[0.00425526,0.0002061874,0.0005817663,0.0003987442,0.003404667,0.001885064,0.00111313,0.002250862,0.001379154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001097362,"about_ca_system_score_gemma":0.000904168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001110044,"about_ca_topic_score_gemma":0.0007148171,"domain_scores_codex":[0.9991019,0.0002648938,0.00005117113,0.0002277092,0.0002699273,0.00008445225],"domain_scores_gemma":[0.9992224,0.0004495795,0.0000512574,0.00009911002,0.000129589,0.00004803904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001107931,0.00004438603,0.0003452058,0.000246608,0.00002308158,0.00004011749,0.0004649327,0.00187781,0.002238594,0.9071674,0.006847355,0.08059373],"study_design_scores_gemma":[0.0000543741,0.0002001749,0.001331437,0.0001945001,0.00002549771,0.0001720121,0.0001013674,0.004602605,0.001899907,0.9171034,0.07426754,0.0000472496],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03722234,0.008780669,0.4180868,0.00569811,0.002866762,0.0004304331,0.0006602608,0.0007573689,0.5254973],"genre_scores_gemma":[0.8169126,0.009246349,0.117666,0.003705302,0.001251552,0.0005069425,0.0003327243,0.0002129478,0.05016556],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01474896,"threshold_uncertainty_score":0.04934019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0310205536305586,"score_gpt":0.2572658696695734,"score_spread":0.2262453160390148,"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."}}