{"id":"W4392453320","doi":"10.32920/25343236.v1","title":"Weaving Open Dialogue Using Canada’s Open Science Roadmap Framework","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Interdisciplinary Research and Collaboration","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Weaving; Open science; Computer science; Political science; Engineering; Physics; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["open_science"],"category_scores_codex":[0.01223635,0.0003510993,0.0006517619,0.0006504497,0.001300303,0.03230457,0.02461433,0.0002545593,0.002022436],"category_scores_gemma":[0.005633054,0.0002513338,0.00009599987,0.003304717,0.0003960248,0.001303344,0.1357382,0.001485662,0.0003670144],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001594316,"about_ca_system_score_gemma":0.05573838,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6711822,"about_ca_topic_score_gemma":0.9215494,"domain_scores_codex":[0.9909672,0.0003714863,0.001021771,0.00220942,0.004614096,0.0008160757],"domain_scores_gemma":[0.9940268,0.0007878079,0.0003320453,0.002439323,0.001899258,0.0005146973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004119817,0.0001975558,0.002297088,0.0001264135,0.0001717646,0.0007452864,0.005538061,0.01417915,0.002283162,0.2511245,0.677781,0.04514402],"study_design_scores_gemma":[0.0001373053,0.00008101105,0.001028594,0.0007705456,0.00002137027,0.00001628072,0.005928829,0.07373881,0.001374827,0.8999187,0.01627031,0.0007134069],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2143471,0.00058112,0.02117214,0.04100388,0.01830549,0.006101617,0.0006028094,0.0001125988,0.6977733],"genre_scores_gemma":[0.9590387,0.000003692511,0.01484254,0.0005596591,0.0004994411,0.00009506346,0.00001687152,0.0000303246,0.02491369],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7446917,"threshold_uncertainty_score":0.9999999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2682091005366194,"score_gpt":0.5323581003030471,"score_spread":0.2641489997664276,"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."}}