{"id":"W2623501116","doi":"10.5465/ambpp.2015.12800abstract","title":"Cross-Sector Collaboration: Mapping the Experience Levels of Development Organizations","year":2015,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Nonprofit Sector and Volunteering","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Perspective (graphical); Nonprofit sector; Process (computing); Plan (archaeology); Public relations; Knowledge management; Business; Political science; Computer science; Geography","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":[],"consensus_categories":[],"category_scores_codex":[0.0009321837,0.00008851336,0.0001221688,0.00009441861,0.0003398727,0.00008168138,0.0004964392,0.00006707729,0.0001245045],"category_scores_gemma":[0.0002003512,0.00007542698,0.00001790631,0.001407395,0.0002567155,0.000518585,0.0001516543,0.00008039027,0.000008475886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001023559,"about_ca_system_score_gemma":0.00009638489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005534411,"about_ca_topic_score_gemma":0.000008363925,"domain_scores_codex":[0.9986707,0.00001274611,0.0003387376,0.0001784446,0.0005903352,0.0002090592],"domain_scores_gemma":[0.9992763,0.00002460089,0.0002113126,0.00004334746,0.0003734658,0.00007091711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00002005665,0.00007057573,0.2937132,0.0002789381,0.0001129285,4.246319e-7,0.4531456,0.00003368837,0.003408426,0.2411475,0.003726168,0.004342584],"study_design_scores_gemma":[0.0005869925,0.00002535086,0.4213941,0.0001455756,0.00002496626,5.734847e-7,0.1865332,0.00004277716,0.03387432,0.001383184,0.3556763,0.0003126424],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9666443,0.00009996019,0.0006085411,0.001241339,0.0001329196,0.0004786518,0.000002168349,0.00006042443,0.03073165],"genre_scores_gemma":[0.9939831,0.00002366654,0.002673479,0.0001333424,0.00010331,0.00003632558,5.297504e-7,0.000009741091,0.003036515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3519501,"threshold_uncertainty_score":0.3075823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1029733949806512,"score_gpt":0.3504182535247927,"score_spread":0.2474448585441415,"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."}}