{"id":"W1536707827","doi":"","title":"Mobile FABLABS: Local and Rural Innovation in South Africa","year":2012,"lang":"en","type":"article","venue":"EdMedia: World Conference on Educational Media and Technology","topic":"ICT Impact and Policies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Society of Intestinal Research","funders":"","keywords":"Geography; Economic growth; Political science; Business; 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":[0.0009428162,0.0002397013,0.0001431352,0.001173674,0.00381751,0.00381504,0.0004994805,0.0008704927,0.0155093],"category_scores_gemma":[0.002195717,0.0001693809,0.0001225456,0.002301943,0.002218719,0.002655051,0.002673911,0.0008687373,0.0007432066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005710495,"about_ca_system_score_gemma":0.007447696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03394682,"about_ca_topic_score_gemma":0.07886384,"domain_scores_codex":[0.9994024,0.0001521597,0.00001289398,0.00004852486,0.00005235537,0.0003317543],"domain_scores_gemma":[0.9983303,0.0006307065,0.0002361309,0.00005824985,0.0001431234,0.0006014818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.001406771,0.0007112482,0.1856084,0.001343956,0.00003616275,0.007869433,0.2846954,0.001539948,0.01657908,0.2250089,0.009574798,0.2656259],"study_design_scores_gemma":[0.00015577,0.001358824,0.3866429,0.0007481761,0.00008220692,0.002286585,0.3985897,0.001845505,0.003580278,0.009699316,0.1949338,0.00007693868],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.968052,0.0008899942,0.0003562145,0.002427598,0.00001422757,0.00007633231,0.0001447792,0.00002862754,0.02801031],"genre_scores_gemma":[0.9916486,0.0004786644,0.0002345085,0.00009049691,0.000004528324,0.00003228351,0.00002749321,0.000005203467,0.007478344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03394682,"threshold_uncertainty_score":0.06749845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0193253534142093,"score_gpt":0.2480182907476476,"score_spread":0.2286929373334383,"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."}}