{"id":"W2124889657","doi":"10.1177/0899764002238100","title":"A Regression Model Explaining Predisposition to Collaborate","year":2002,"lang":"en","type":"article","venue":"Nonprofit and Voluntary Sector Quarterly","topic":"Nonprofit Sector and Volunteering","field":"Social Sciences","cited_by":146,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Perception; Construct (python library); Sample (material); Regression analysis; Psychology; Social psychology; Computer science; Statistics; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.007428112,0.001339263,0.001066522,0.002251381,0.001489544,0.001888953,0.001908524,0.0011352,0.008343645],"category_scores_gemma":[0.03033433,0.0004970704,0.001549834,0.002055127,0.0008393779,0.0008429126,0.001211784,0.0020769,0.00161838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003382745,"about_ca_system_score_gemma":0.007417264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4252623,"about_ca_topic_score_gemma":0.2305386,"domain_scores_codex":[0.9971353,0.001462669,0.0001164663,0.000425283,0.0003821429,0.0004781342],"domain_scores_gemma":[0.9778712,0.01426471,0.002021892,0.0009528863,0.003553949,0.00133525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003602973,0.0006470942,0.9403412,0.0001016613,0.0007220073,0.0005804115,0.002230575,0.01370578,0.0002827907,0.00565032,0.006474053,0.02890373],"study_design_scores_gemma":[0.0003150385,0.0008005498,0.5618551,0.0003840054,0.001216801,0.0008674695,0.005305472,0.4071538,0.0004334561,0.01031305,0.01121589,0.0001393504],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9725381,0.000472882,0.01557477,0.002074509,0.0001268666,0.0005285215,0.002557677,0.0002800144,0.005846731],"genre_scores_gemma":[0.983427,0.0003497509,0.007379533,0.0001251306,0.00003051408,0.0003616783,0.002000892,0.00004781645,0.006277662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4252623,"threshold_uncertainty_score":0.845574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03679351711287856,"score_gpt":0.2854664060360691,"score_spread":0.2486728889231905,"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."}}