{"id":"W1775295873","doi":"","title":"FISHER (ed.), Archival Information: How to Find It, How to Use it","year":2006,"lang":"en","type":"article","venue":"Archivaria","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Information technology; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.00186398,0.0009653121,0.0005720382,0.00334838,0.002563111,0.005180296,0.0008101935,0.002816645,0.02473745],"category_scores_gemma":[0.003896332,0.0006554733,0.0002762538,0.003723259,0.003103453,0.0117287,0.001659497,0.001796173,0.009478624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00207835,"about_ca_system_score_gemma":0.005627754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0449468,"about_ca_topic_score_gemma":0.1325478,"domain_scores_codex":[0.9993449,0.0001989414,0.00005649179,0.00006044303,0.0002721108,0.00006716695],"domain_scores_gemma":[0.9988011,0.0006148143,0.0001124744,0.00005486041,0.0002954324,0.0001212352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002954781,0.00002433779,0.0007100032,0.001133873,0.000009291649,0.0001915898,0.008320144,0.0001921517,0.00038745,0.0424321,0.5005178,0.4460517],"study_design_scores_gemma":[0.00000332385,0.00000782295,0.00141914,0.002152833,0.00001062166,0.0003934606,0.006250316,0.00007517444,0.0003369258,0.01908798,0.9702401,0.00002216581],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.003675517,0.7232103,0.008905772,0.06804105,0.003101399,0.00008447382,0.001018604,0.000321787,0.191641],"genre_scores_gemma":[0.0354004,0.8225611,0.01617407,0.005126055,0.0008049993,0.0001345516,0.0004524116,0.0001730998,0.1191732],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0449468,"threshold_uncertainty_score":0.08937037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02905954099429791,"score_gpt":0.2245728928663414,"score_spread":0.1955133518720435,"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."}}