{"id":"W7067882740","doi":"","title":"Myrtle M. Weaver Alwine Diary","year":2018,"lang":"en","type":"article","venue":"The W&M Digital Archive (The College of William & Mary)","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Orange (colour); Variety (cybernetics); Fell; Watson","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":"codex-gemma-dda1882f352a","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.001122861,0.0002221369,0.0002254177,0.000152266,0.0003804165,0.0006814425,0.005790316,0.000025211,0.00005867697],"category_scores_gemma":[0.0006515023,0.0001253374,0.0001352673,0.0008087423,0.00128528,0.009653425,0.004239933,0.0002529358,0.0005439829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002810331,"about_ca_system_score_gemma":0.0001009221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003839038,"about_ca_topic_score_gemma":0.00002503606,"domain_scores_codex":[0.9975092,0.000295278,0.0003469642,0.0004927137,0.0008323953,0.000523398],"domain_scores_gemma":[0.9957952,0.00154215,0.0002178858,0.002209986,0.0001101901,0.0001245715],"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":[0.0002494277,0.0005024477,0.0009076527,0.00007241013,0.0004237938,0.0001122581,0.001068165,0.00002589534,0.0005888763,0.483546,0.4329236,0.07957952],"study_design_scores_gemma":[0.0004197327,0.0004241805,0.009341395,0.00005273306,0.00002323957,0.00002409861,0.0001227131,0.004702935,0.0009089131,0.04430921,0.9394014,0.0002694474],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02332254,0.0002930747,0.2481232,0.04758846,0.0009922123,0.002264172,0.001113016,0.0003137213,0.6759896],"genre_scores_gemma":[0.9594715,0.0002891542,0.004227458,0.0009991264,0.0004878966,0.00005756145,0.00003868572,0.00003635026,0.03439222],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.936149,"threshold_uncertainty_score":0.9995888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02591117200990247,"score_gpt":0.2717235206756557,"score_spread":0.2458123486657533,"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."}}