{"id":"W2967278765","doi":"10.2139/ssrn.3233955","title":"Needs Versus Wants: Which Motivates More Effort?","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Business; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006238441,0.0002453378,0.0003770855,0.0005837083,0.0005777744,0.0006028271,0.001491959,0.0001546963,0.000577159],"category_scores_gemma":[0.001794846,0.000173433,0.0002160821,0.001303838,0.0001825284,0.0006622727,0.0001666886,0.001435929,0.001750375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006682473,"about_ca_system_score_gemma":0.001697797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003448534,"about_ca_topic_score_gemma":0.0007392791,"domain_scores_codex":[0.9952906,0.00009358182,0.0008455545,0.0004194244,0.001056432,0.002294443],"domain_scores_gemma":[0.9974256,0.0005101183,0.0004385916,0.0006253439,0.000790415,0.0002099326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005168326,0.0001131157,0.007798116,4.312706e-7,0.00009016324,0.000007423927,0.0005594701,0.00006363128,0.0002116816,0.01174129,0.004661298,0.9742365],"study_design_scores_gemma":[0.001964822,0.001667303,0.002724348,0.00002790517,0.00005485628,0.0004845274,0.01051283,0.0006868871,0.0004997973,0.9526142,0.02831861,0.0004438774],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883041,0.0003644131,0.002813135,0.001522364,0.002283793,0.00007865806,0.000004712,0.00004629492,0.004582556],"genre_scores_gemma":[0.9960736,0.0002302744,0.0002437225,0.0001320155,0.000962493,0.000002045281,0.00000166729,0.00002896741,0.002325234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9737927,"threshold_uncertainty_score":0.9990269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06626153073602628,"score_gpt":0.3817021072163659,"score_spread":0.3154405764803396,"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."}}