{"id":"W6968273937","doi":"10.5281/zenodo.165515","title":"Grant Proposal: Improving The Visibility Of Scholarly Software Work","year":2016,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact; OpenAlex","funders":"","keywords":"Visibility; Scholarship; Work (physics); Software; Incentive; Software walkthrough; Software technical review","routes":{"ca_aff":true,"ca_fund":false,"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","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01639363,0.0007640567,0.001067753,0.003299112,0.003429544,0.005802783,0.003050959,0.006929664,0.2599825],"category_scores_gemma":[0.05571916,0.0007616763,0.000827335,0.001916252,0.001967345,0.003342078,0.01080146,0.002722,0.107321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003410064,"about_ca_system_score_gemma":0.02684802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007084286,"about_ca_topic_score_gemma":0.007950283,"domain_scores_codex":[0.9837047,0.002439025,0.001027554,0.001302607,0.008548717,0.002977327],"domain_scores_gemma":[0.9335126,0.008333166,0.001830765,0.004747817,0.02828685,0.0232888],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005816838,0.0004069757,0.002196251,0.0001454215,0.00003427406,0.0002260251,0.0002138563,0.0002213183,0.001423784,0.02036499,0.9052052,0.06898027],"study_design_scores_gemma":[0.001322122,0.0009491617,0.01267425,0.0001774086,0.00008114617,0.0003702972,0.0005099883,0.001905716,0.00300687,0.01100334,0.967877,0.000122689],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"protocol","genre_scores_codex":[0.0310784,0.002014805,0.01562733,0.1968344,0.0361542,0.007145898,0.02118653,0.00520933,0.6847491],"genre_scores_gemma":[0.1185863,0.0009804993,0.009865603,0.0119145,0.005937799,0.002182584,0.01703763,0.001413698,0.8320815],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.9941972,"threshold_uncertainty_score":0.8697281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1144822042846118,"score_gpt":0.3135741330815433,"score_spread":0.1990919287969315,"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."}}