{"id":"W7061785988","doi":"","title":"Sankofa : recovering Montreal’s heterogeneous Black print serials","year":2006,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Print media; Black box; The Internet","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":[0.001002365,0.000830356,0.0003435465,0.002952653,0.003753013,0.005541513,0.001058939,0.001178427,0.06664419],"category_scores_gemma":[0.008066935,0.0004068086,0.0003380747,0.003337546,0.00155361,0.003553831,0.001763275,0.001590357,0.01567438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00500681,"about_ca_system_score_gemma":0.003788577,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2809784,"about_ca_topic_score_gemma":0.3892617,"domain_scores_codex":[0.9993543,0.00009927531,0.00001586364,0.0001223535,0.0003022097,0.0001060155],"domain_scores_gemma":[0.9978795,0.0003380507,0.00007742789,0.0005125542,0.001045014,0.0001473991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002487878,0.00004471172,0.00411028,0.00007198884,0.00002860816,0.0004481582,0.001749336,0.003161329,0.001294186,0.09728514,0.5990981,0.2924594],"study_design_scores_gemma":[0.00003485321,0.00001622713,0.003776935,0.0001102528,0.00003407114,0.0001373487,0.002080189,0.01181246,0.002431226,0.02729388,0.9522212,0.00005145878],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07610985,0.002069206,0.0480286,0.02035999,0.005534902,0.0001440939,0.01104436,0.01286531,0.8238437],"genre_scores_gemma":[0.3643349,0.001196951,0.04482393,0.00155339,0.000970573,0.00006607403,0.007578616,0.004495025,0.5749806],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7190216,"threshold_uncertainty_score":0.5586859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02180249151279386,"score_gpt":0.3093952118557863,"score_spread":0.2875927203429925,"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."}}