{"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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0007907659,0.00009251459,0.00007828282,0.0003379031,0.0002538404,0.01600413,0.0006965637,0.00002731938,0.000004796086],"category_scores_gemma":[0.00004870151,0.0000844918,0.0000250149,0.0007569531,0.0000483232,0.03834249,0.0002276974,0.0001514496,0.00008033999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005433269,"about_ca_system_score_gemma":0.0001211996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003673415,"about_ca_topic_score_gemma":0.00002218798,"domain_scores_codex":[0.9988227,0.0000987634,0.0001518407,0.0003362414,0.0002765916,0.0003138457],"domain_scores_gemma":[0.9991867,0.0002419436,0.00002901713,0.0004349585,0.00003184439,0.00007554232],"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":[3.748638e-7,0.000008462666,0.00004581363,0.00005762895,0.0000265376,0.00005873503,0.0008020555,4.595001e-7,0.0002302249,0.7128379,0.001713012,0.2842188],"study_design_scores_gemma":[0.0003517042,0.0003399138,0.04233403,0.0005296001,0.00004951437,0.0001939552,0.005013349,0.1082235,0.000124067,0.02468264,0.8172735,0.0008842503],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007763213,0.0007782161,0.9658469,0.01777588,0.0003974155,0.00008373382,0.000001585062,0.0003375226,0.007015528],"genre_scores_gemma":[0.9410092,0.00006967725,0.05771608,0.0001955925,0.00008418889,0.00001312035,0.000004688308,0.000009668432,0.0008978042],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.933246,"threshold_uncertainty_score":0.9850174,"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."}}