{"id":"W7093105503","doi":"10.5281/zenodo.17410104","title":"Laying the groundwork: Preparing researchers for the revisedTri-Agency open access policy","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Medieval Architecture and Archaeology","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Laying; Government (linguistics); Legislation; Work (physics); Public policy","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002055881,0.0001380529,0.0001561651,0.0002302038,0.008775994,0.003807494,0.00481183,0.00003433436,0.006239781],"category_scores_gemma":[0.002041487,0.00008557837,0.00008222558,0.000384549,0.0007362711,0.0004112283,0.006635578,0.0003800457,0.000472291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000948741,"about_ca_system_score_gemma":0.00002479507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003803883,"about_ca_topic_score_gemma":0.00002698863,"domain_scores_codex":[0.9981011,0.0005136711,0.0002649791,0.0003640961,0.0002554481,0.0005006929],"domain_scores_gemma":[0.9983894,0.000397444,0.00009353593,0.0006263793,0.0004084083,0.00008479533],"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":[0.0001407572,0.00003819508,0.000004254402,0.00008616661,0.0001004669,0.000001317087,0.01641209,0.00004454726,0.00008335397,0.4675978,0.2307266,0.2847644],"study_design_scores_gemma":[0.0003516592,0.00008344774,0.000150688,0.00005421171,0.00002430093,0.000006783874,0.001756787,0.0002614958,0.00003362959,0.01404596,0.9831325,0.00009854411],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003409289,0.0006876258,0.006378354,0.0448438,0.0003843725,0.002940588,0.0001120665,0.0003956881,0.9408482],"genre_scores_gemma":[0.9439355,0.0005256152,0.0001205344,0.00409155,0.001687319,0.000003279182,0.00032723,0.0008297823,0.0484792],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9405262,"threshold_uncertainty_score":0.9972267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1637031596845713,"score_gpt":0.3682480602611591,"score_spread":0.2045449005765878,"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."}}