{"id":"W6968665339","doi":"10.5281/zenodo.15758552","title":"Recognizing Software as a Critical Component in Open Science: Advancing an Interoperable, Community-Driven Vision for Infrastructures","year":2025,"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":"Canadian Council on Social Development","funders":"","keywords":"Software; Metadata; Identifier; Component (thermodynamics); Executable; Source code; Software development; Component-based software engineering; Best practice; Software construction","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.1165999,0.001313066,0.001144175,0.006707341,0.01440771,0.04781042,0.005761306,0.01799769,0.00511198],"category_scores_gemma":[0.06232995,0.001322475,0.001503387,0.005222122,0.03835216,0.07007305,0.04793932,0.02396033,0.002221656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01201621,"about_ca_system_score_gemma":0.04124778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003484754,"about_ca_topic_score_gemma":0.004962262,"domain_scores_codex":[0.9434183,0.02735171,0.002847047,0.004501545,0.01762187,0.004259616],"domain_scores_gemma":[0.9219898,0.0321293,0.004731651,0.00952573,0.01610739,0.01551622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003476755,0.0001066499,0.001408372,0.0005883743,0.00003921575,0.0002852246,0.03605056,0.001147477,0.002423466,0.7911593,0.05183271,0.114924],"study_design_scores_gemma":[0.000009840931,0.0000478209,0.00055074,0.0009221322,0.00002070131,0.0001549891,0.02241765,0.001134927,0.001229022,0.5558327,0.4175947,0.00008460947],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.01888729,0.007482021,0.2381979,0.6860722,0.006165628,0.0004224674,0.00008657178,0.0006039833,0.04208196],"genre_scores_gemma":[0.4418381,0.02103184,0.4268963,0.06720368,0.005067399,0.001194188,0.0005885688,0.001730029,0.03444984],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9942387,"threshold_uncertainty_score":0.6166463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.115766797704245,"score_gpt":0.4293676817338523,"score_spread":0.3136008840296073,"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."}}