{"id":"W3126127372","doi":"10.2139/ssrn.2703385","title":"Voluntary Contributions to a Mutual Insurance Pool","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Dual (grammatical number); Economics; Risk aversion (psychology); Context (archaeology); Microeconomics; Turnover; Econometrics; Actuarial science; Expected utility hypothesis; Mathematical economics","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":[0.006798359,0.0005974045,0.0009916963,0.001001781,0.002327313,0.003040423,0.001677386,0.002884021,0.01268714],"category_scores_gemma":[0.02114879,0.0004512758,0.000603529,0.0005312377,0.001495946,0.002604225,0.004934195,0.001350682,0.001256707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001106645,"about_ca_system_score_gemma":0.00293143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008480214,"about_ca_topic_score_gemma":0.001331732,"domain_scores_codex":[0.9958971,0.001905839,0.0001866046,0.0004897432,0.0007588355,0.0007618542],"domain_scores_gemma":[0.9874515,0.00487435,0.001886121,0.002610393,0.0008365199,0.002341171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.003874601,0.002439131,0.04001125,0.0002927988,0.0002793248,0.00148767,0.004758592,0.01693843,0.01743491,0.7985013,0.0130068,0.1009752],"study_design_scores_gemma":[0.001512725,0.00379962,0.05119979,0.0002588526,0.0006922758,0.001827471,0.004219761,0.1443549,0.0104806,0.7102154,0.07124344,0.0001951173],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9263682,0.0001934621,0.01639817,0.001293301,0.00006981019,0.0003294687,0.0001586395,0.0001788698,0.05501014],"genre_scores_gemma":[0.9819083,0.00002826218,0.001763891,0.00005180365,0.00004248932,0.00007501939,0.00002914008,0.000009766067,0.01609144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01268714,"threshold_uncertainty_score":0.04244274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02184929590107329,"score_gpt":0.3419016458827577,"score_spread":0.3200523499816844,"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."}}