{"id":"W4415882006","doi":"10.52294/001c.146072","title":"Toward a woven literature: Open-source infrastructure for networked scientific publishing","year":2025,"lang":"en","type":"article","venue":"Aperture Neuro","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Polytechnique Montréal","funders":"Canada First Research Excellence Fund; Réseau en Bio-Imagerie du Quebec; Fondation Brain Canada","keywords":"Workflow; Publishing; Documentation; Transparency (behavior); Incentive; Cyberinfrastructure","routes":{"ca_aff":true,"ca_fund":true,"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":["scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.08560846,0.001053825,0.001341268,0.01843083,0.006761964,0.03971168,0.00911639,0.008159501,0.01875685],"category_scores_gemma":[0.2340659,0.001717445,0.002337641,0.01949112,0.01463208,0.06999217,0.04121269,0.008855772,0.01238766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004606418,"about_ca_system_score_gemma":0.02136295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001113472,"about_ca_topic_score_gemma":0.001353648,"domain_scores_codex":[0.9429212,0.02951846,0.006684795,0.00527027,0.01388962,0.001715615],"domain_scores_gemma":[0.6462692,0.1496396,0.01509423,0.1334538,0.03887948,0.01666369],"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":[0.00012057,0.0001346599,0.001864793,0.001399867,0.00008316697,0.0005759058,0.01231096,0.001647994,0.001800659,0.6612943,0.03823895,0.2805282],"study_design_scores_gemma":[0.00004576184,0.00005421515,0.0006639156,0.002043494,0.0000355084,0.0003400104,0.003063483,0.002990807,0.001544998,0.5302305,0.4588895,0.00009773732],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01316799,0.007800363,0.7962371,0.07064827,0.004679565,0.0008873788,0.001541032,0.01420995,0.09082844],"genre_scores_gemma":[0.1190082,0.01385359,0.8011081,0.007815249,0.005316191,0.0022493,0.004717015,0.01022484,0.03570753],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9908836,"threshold_uncertainty_score":0.4527462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09233481454975045,"score_gpt":0.3629642967426002,"score_spread":0.2706294821928497,"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."}}