{"id":"W6920707236","doi":"10.6082/uchicago.3418","title":"Brotherhood for Life?: Determining Effective Commitment Mechanisms that Predict Alumni Involvement in Fraternities","year":2014,"lang":"en","type":"article","venue":"Knowledge@UChicago (University of Chicago)","topic":"Heusler alloys: electronic and magnetic properties","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fraternity; Quarter (Canadian coin); Scholarship; Test (biology); Margin (machine learning); Qualitative analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003718816,0.0002447249,0.0001954636,0.0008930784,0.0009269481,0.001856745,0.0006202207,0.0007140879,0.005832945],"category_scores_gemma":[0.01579141,0.0002334849,0.0002784371,0.000557495,0.0007631814,0.001061778,0.001380706,0.001227459,0.0005459067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005143118,"about_ca_system_score_gemma":0.000789583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002397611,"about_ca_topic_score_gemma":0.004057499,"domain_scores_codex":[0.9988289,0.0005577446,0.00007535673,0.0001067291,0.0001790536,0.0002521133],"domain_scores_gemma":[0.9875045,0.0040506,0.004611285,0.0004850398,0.0006372762,0.002711204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005419406,0.0003236289,0.9888746,0.0000166498,0.00002393012,0.00003468771,0.00196796,0.0000762774,0.0001502227,0.0004122503,0.0001592525,0.007906435],"study_design_scores_gemma":[0.000006871641,0.0001232391,0.9895943,0.00004832694,0.00001801006,0.00005980525,0.008264719,0.0008285209,0.0001645723,0.0003696241,0.0005148231,0.000007237661],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987583,0.00003815656,0.0001287983,0.000156164,0.000002979708,0.00001280017,0.00001561741,0.000001147101,0.0008859974],"genre_scores_gemma":[0.9993656,0.00004125238,0.0002146771,0.00002067673,0.000003744739,0.00001288348,0.00002818633,9.340275e-7,0.0003120292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005832945,"threshold_uncertainty_score":0.01966715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01534864109895303,"score_gpt":0.2079076756493892,"score_spread":0.1925590345504362,"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."}}