{"id":"W4377836996","doi":"10.2352/issn.2168-3204.2006.3.1.art00055","title":"A Report from the Open Content Alliance Project","year":2006,"lang":"en","type":"article","venue":"Archiving Conference","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Alliance; Digitization; Context (archaeology); Content (measure theory); Political science; Public relations; World Wide Web; Knowledge management; Computer science; Geography; Telecommunications; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0002313506,0.0001464668,0.0001711112,0.00001437374,0.000492428,0.003010185,0.0009357965,0.00001422032,0.0008986664],"category_scores_gemma":[0.00008204598,0.00009621324,0.00005869058,0.00001684004,0.0003102808,0.0006008438,0.0003465505,0.0001830198,0.00006693041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001472291,"about_ca_system_score_gemma":0.0001073145,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03947101,"about_ca_topic_score_gemma":0.03676636,"domain_scores_codex":[0.9989113,0.00005898937,0.0002847362,0.0002922846,0.0001967854,0.0002559649],"domain_scores_gemma":[0.9990471,0.0002583292,0.0001326717,0.0004327895,0.0001018887,0.00002723518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001707124,0.00005377524,0.002934905,0.000004920459,0.00002255323,0.00006720554,0.005902749,6.363749e-7,0.00004025839,0.9693268,0.01715489,0.004474267],"study_design_scores_gemma":[0.0002858984,0.00005696224,0.04656931,0.0002019072,0.00001893949,0.00001469761,0.00322824,0.00005047808,0.00004900786,0.1456528,0.8035722,0.0002995111],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3345178,0.00007631722,0.00007254633,0.0008064893,0.000306899,0.0003829516,0.0001158437,0.00006363039,0.6636575],"genre_scores_gemma":[0.9215227,0.000006532101,0.0001332123,0.0005403,0.0005082669,0.00005795815,0.0001001755,0.00001443939,0.07711638],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.823674,"threshold_uncertainty_score":0.9980248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2249398114531716,"score_gpt":0.2843865348193642,"score_spread":0.05944672336619258,"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."}}