{"id":"W3103240564","doi":"10.11141/ia.55.11","title":"Reproducibility, Replicability, and Revisiting the Insta-Dead and the Human Remains Trade","year":2020,"lang":"en","type":"article","venue":"Internet Archaeology","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Replicate; Social media; Reproducibility; Field (mathematics); Computer science; Statistics; Mathematics; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1634292,0.0006008435,0.000904698,0.006715574,0.00508554,0.013367,0.004413844,0.003158234,0.009110709],"category_scores_gemma":[0.4909065,0.0007262345,0.0008516163,0.007102711,0.03675778,0.01513394,0.00995255,0.00412775,0.0014939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00387305,"about_ca_system_score_gemma":0.006349833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008567265,"about_ca_topic_score_gemma":0.01090268,"domain_scores_codex":[0.8862481,0.06294604,0.008332991,0.01546988,0.02423105,0.002772053],"domain_scores_gemma":[0.415706,0.2894799,0.03540858,0.2159938,0.0412372,0.002174563],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0007549006,0.0001857094,0.1387741,0.003047962,0.0006431325,0.001969882,0.3172603,0.0009032902,0.004483659,0.3110035,0.01966259,0.2013109],"study_design_scores_gemma":[0.00008310816,0.0002654292,0.1194125,0.007071503,0.0004438287,0.001823723,0.1454471,0.002275687,0.009529619,0.3268592,0.3864203,0.0003679252],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5976667,0.02537077,0.08387908,0.08630323,0.01035461,0.0009105544,0.004035429,0.0005044806,0.1909751],"genre_scores_gemma":[0.9763485,0.001995601,0.0114751,0.002892947,0.001028883,0.000263926,0.0007893197,0.0003942348,0.004811393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8365709,"threshold_uncertainty_score":0.8643064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02706218314417316,"score_gpt":0.243385710924941,"score_spread":0.2163235277807678,"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."}}