{"id":"W6977531944","doi":"10.6084/m9.figshare.26725190","title":"Additional file 1 of Navigating the science policy interface: a co-created mind-map to support early career research contributions to policy-relevant evidence","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Policy Transfer and Learning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; McGill University","funders":"","keywords":"Government (linguistics); Public policy; Science policy; Qualitative research","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":["metaresearch","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001006144,0.0001197481,0.000141941,0.0005249064,0.001338569,0.0004647529,0.0009864612,0.00007869351,0.8439189],"category_scores_gemma":[0.06788328,0.00009797139,0.00008507122,0.005056289,0.0003112435,0.000397085,0.0002182194,0.0006374089,0.008710407],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006224596,"about_ca_system_score_gemma":0.007761612,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007324818,"about_ca_topic_score_gemma":0.0005841333,"domain_scores_codex":[0.9968928,0.0003008779,0.0002487835,0.0003851491,0.001299046,0.0008733551],"domain_scores_gemma":[0.9925907,0.005539244,0.00003088195,0.0002557017,0.001144018,0.0004394103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006185834,0.00000801283,0.000002530746,0.00002769207,0.000008718533,0.000006904469,0.01834468,0.00001934978,0.0004141439,0.000711384,0.9774117,0.003038676],"study_design_scores_gemma":[0.00003187666,0.0001517611,0.0008604734,0.008047858,0.000003050723,0.000003150034,0.001792775,0.00004897683,0.001259411,0.0001000687,0.9875719,0.000128673],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0008141661,0.00005198656,0.00000264292,0.01215205,0.00002463432,0.0005005783,0.9748013,0.00006580841,0.01158681],"genre_scores_gemma":[0.9237466,0.000001582144,0.00008809795,0.0003656035,0.001051406,0.001220885,0.06900019,0.00002049611,0.004505083],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.9229325,"threshold_uncertainty_score":0.9999616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1498117452872483,"score_gpt":0.5018053012044211,"score_spread":0.3519935559171728,"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."}}