{"id":"W3028025546","doi":"10.69554/xpcn7069","title":"The perfect synergy: Alumni, donors, students, employers — A case study in Silicon Valley","year":2020,"lang":"en","type":"article","venue":"Journal of education advancement & marketing.","topic":"Service-Learning and Community Engagement","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Silicon valley; Silicon; Psychology; Medical education; Business; Medicine; Materials science; Optoelectronics; Finance","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":[0.003707262,0.0004204636,0.0003811512,0.001274393,0.01732442,0.006497513,0.00154447,0.002978008,0.005263438],"category_scores_gemma":[0.002739622,0.0004939603,0.0003422832,0.001435121,0.004854701,0.002642739,0.00564731,0.002966953,0.0005410642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004227466,"about_ca_system_score_gemma":0.006771049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01080691,"about_ca_topic_score_gemma":0.05383103,"domain_scores_codex":[0.9972047,0.001459147,0.0000534928,0.0001550764,0.0002983165,0.0008292285],"domain_scores_gemma":[0.9968905,0.0009897641,0.0001972509,0.00006979981,0.0002109097,0.001641743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001751909,0.002107073,0.07344975,0.0003908655,0.00004836464,0.04763699,0.7593849,0.001163606,0.001757741,0.03405871,0.01994597,0.05988086],"study_design_scores_gemma":[0.00002924689,0.0003848263,0.007324236,0.0001884167,0.00001375871,0.003383,0.9352047,0.000486653,0.0003193488,0.001285331,0.05136094,0.00001950546],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9755333,0.0003452824,0.0006650569,0.004038457,0.0000945218,0.0000772862,0.00002712189,0.00001379966,0.01920515],"genre_scores_gemma":[0.9841003,0.0005309326,0.001289921,0.001147481,0.00005028334,0.00005729212,0.0000308018,0.00001319594,0.01277967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01732442,"threshold_uncertainty_score":0.03067249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03461130067695932,"score_gpt":0.3719476806908676,"score_spread":0.3373363800139083,"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."}}