{"id":"W3033740979","doi":"10.16995/dscn.325","title":"Absorbing DiRT: Tool Directories in the Digital Age","year":2020,"lang":"en","type":"article","venue":"Digital Studies / Le champ numérique","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Alberta","funders":"","keywords":"Dirt; Directory; World Wide Web; Metadata; Computer science; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0001710355,0.0003683968,0.0004469186,0.00005625535,0.0005139852,0.004456651,0.0005078653,0.00004845161,0.00006594722],"category_scores_gemma":[0.0005017763,0.0002598305,0.0002098342,0.000115433,0.0005928948,0.002222393,0.0002861458,0.0003476815,0.0001361845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005513712,"about_ca_system_score_gemma":0.00003377117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004208267,"about_ca_topic_score_gemma":0.0006570853,"domain_scores_codex":[0.9982168,0.00003812577,0.0004672572,0.000405999,0.0003768065,0.0004949801],"domain_scores_gemma":[0.9991077,0.0003474565,0.0001037239,0.0002500706,0.0001116595,0.00007940566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004702931,0.0001379647,0.001054315,0.00009199875,0.000111032,0.0002261546,0.9209678,0.00000599398,0.000002298266,0.06617811,0.006308691,0.004868569],"study_design_scores_gemma":[0.0002313809,0.0001115096,0.0001687565,0.00004558949,2.252378e-7,0.00000391859,0.523235,0.000004084918,0.000007781599,0.008728815,0.467175,0.000287838],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5370731,0.0009818227,0.000004666997,0.002366302,0.0002753834,0.000270043,0.000201256,0.0001597241,0.4586677],"genre_scores_gemma":[0.990559,0.00006906722,6.080476e-7,0.001971872,0.001041575,0.00008147302,0.00008242657,0.00004428392,0.006149667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4608664,"threshold_uncertainty_score":0.9999854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08235127593239963,"score_gpt":0.2477645795590697,"score_spread":0.1654133036266701,"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."}}