{"id":"W4400100555","doi":"10.29173/iq1121","title":"Assessing needs and developing solutions","year":2024,"lang":"en","type":"article","venue":"IASSIST Quarterly","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","open_science"],"consensus_categories":[],"category_scores_codex":[0.03511866,0.001181182,0.0008731867,0.00580647,0.007409457,0.01920085,0.003755182,0.005985619,0.03982659],"category_scores_gemma":[0.09076834,0.0008123353,0.001152664,0.003724091,0.005678786,0.02924904,0.01560615,0.006445995,0.01855251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006910446,"about_ca_system_score_gemma":0.0222475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004417613,"about_ca_topic_score_gemma":0.006473381,"domain_scores_codex":[0.9694398,0.01663278,0.001884998,0.001911146,0.008154135,0.001977222],"domain_scores_gemma":[0.9548029,0.0149476,0.002534972,0.002987189,0.01789187,0.006835436],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003286961,0.0001923481,0.006965064,0.001108712,0.00004911,0.0004134911,0.06024043,0.0004682085,0.001363128,0.1012394,0.4203936,0.4075336],"study_design_scores_gemma":[0.000009215409,0.00008462251,0.002177913,0.00179717,0.00002078752,0.0003016878,0.130485,0.0007777646,0.0005232102,0.07024866,0.7935122,0.00006187084],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0297828,0.008653861,0.1094565,0.4975428,0.008547769,0.002033619,0.001163256,0.002068478,0.340751],"genre_scores_gemma":[0.3195467,0.02425179,0.3919954,0.06124419,0.001868337,0.003914137,0.004698784,0.001879013,0.1906016],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9962448,"threshold_uncertainty_score":0.1857274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1421017868042089,"score_gpt":0.3875154783762032,"score_spread":0.2454136915719943,"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."}}