{"id":"W2807965848","doi":"10.1002/cb.1724","title":"It is for you, or it is for me: How relationship dependence affects gift image consistency in romantic relationships","year":2018,"lang":"en","type":"article","venue":"Journal of Consumer Behaviour","topic":"Attachment and Relationship Dynamics","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"National Natural Science Foundation of China","keywords":"Consistency (knowledge bases); Romance; Psychology; Self-image; Context (archaeology); Gift giving; Social psychology; Image (mathematics); Computer science; Economics; Psychoanalysis; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001727258,0.0002986406,0.0004971292,0.0005315928,0.0005006916,0.0001168277,0.0003697558,0.0004791351,0.0005986876],"category_scores_gemma":[0.001144938,0.0002547616,0.0003510552,0.0004106899,0.0003001619,0.0005664168,0.00003564488,0.0008064404,0.00010272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001384396,"about_ca_system_score_gemma":0.0003265906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001299271,"about_ca_topic_score_gemma":0.0003530776,"domain_scores_codex":[0.9975111,0.0002983485,0.0009496259,0.0003701496,0.0003762604,0.0004945435],"domain_scores_gemma":[0.995459,0.002174126,0.001001531,0.0004318784,0.0007431806,0.0001903333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005037326,0.0002472412,0.9002033,0.00004199088,0.0001436585,0.00003867083,0.004531859,0.000001310106,0.00009310462,0.001650446,0.09214308,0.0004015799],"study_design_scores_gemma":[0.007759247,0.001145627,0.963461,0.0003941338,0.001566281,0.0006317073,0.00507958,0.0008941259,0.0001564959,0.00499371,0.01318833,0.0007297656],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8663911,0.001299941,0.07509711,0.04812894,0.003439167,0.002602477,0.0002613076,0.00005717596,0.002722759],"genre_scores_gemma":[0.9716113,0.00003636518,0.01373797,0.0007348509,0.0002372053,0.00008679197,0.00002235904,0.00005854268,0.01347462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1052202,"threshold_uncertainty_score":0.9999905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09296400121207751,"score_gpt":0.4205417666517781,"score_spread":0.3275777654397006,"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."}}