{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01859876,0.0006268788,0.000634986,0.009356699,0.01680462,0.03727303,0.002574819,0.00449448,0.02335725],"category_scores_gemma":[0.04424147,0.001012154,0.0007160379,0.01232739,0.01747027,0.07588734,0.02186999,0.007688375,0.01003897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009299793,"about_ca_system_score_gemma":0.01116708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009556014,"about_ca_topic_score_gemma":0.01926949,"domain_scores_codex":[0.98269,0.00726071,0.001151447,0.001557195,0.005296651,0.002044047],"domain_scores_gemma":[0.9638316,0.01440322,0.002854943,0.008739737,0.005459532,0.004711033],"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":[0.0001051902,0.00005706335,0.002609297,0.0003468058,0.00001177791,0.0005312199,0.06068932,0.000186432,0.000592768,0.4888211,0.2073021,0.2387469],"study_design_scores_gemma":[0.000003572703,0.00001308036,0.0002864496,0.0002309376,0.000002485271,0.0002553489,0.008591613,0.00007390599,0.0002184781,0.009930241,0.98037,0.00002382408],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06870035,0.03824793,0.1160811,0.1710727,0.009403327,0.0002894225,0.001763756,0.0113041,0.5831372],"genre_scores_gemma":[0.4531407,0.03251471,0.1233911,0.02838165,0.004071414,0.0005514929,0.004086824,0.009940945,0.3439211],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.962727,"threshold_uncertainty_score":0.09836078,"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."}}