{"id":"W2999912383","doi":"10.1093/icesjms/fsz247","title":"Supporting early career researchers: insights from interdisciplinary marine scientists","year":2019,"lang":"en","type":"article","venue":"ICES Journal of Marine Science","topic":"Delphi Technique in Research","field":"Social Sciences","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; University of Ottawa; Dalhousie University; Brock University; Memorial University of Newfoundland; University of British Columbia; University of Waterloo","funders":"","keywords":"Mentorship; Mainstream; Sustainability; Career Pathways; Coping (psychology); Medical education; Career development; Delphi method; Marine research; Engineering ethics; Psychology; Political science; Public relations; Engineering; Medicine; Computer science; Ecology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.04971072,0.0007250759,0.0008600975,0.003301851,0.01801419,0.01369771,0.002948815,0.00399929,0.002731395],"category_scores_gemma":[0.05745184,0.0007219249,0.00061993,0.002458662,0.01185857,0.007701708,0.01921232,0.008059467,0.0004274615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004094351,"about_ca_system_score_gemma":0.01304348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004132763,"about_ca_topic_score_gemma":0.006692074,"domain_scores_codex":[0.9471527,0.04287441,0.001072145,0.00120641,0.002748897,0.004945472],"domain_scores_gemma":[0.9037732,0.06864177,0.005235103,0.002062026,0.008337549,0.01195035],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003409835,0.0001287352,0.007243974,0.0001806275,0.000009576477,0.0009362796,0.9796051,0.00004987278,0.0004353075,0.002862188,0.001143907,0.007370241],"study_design_scores_gemma":[0.000003476327,0.00003973213,0.001092403,0.0001136818,0.000002832175,0.0001578883,0.9915466,0.00005161726,0.00008034475,0.0007802818,0.006123468,0.000007690983],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9521121,0.00144319,0.003398031,0.02578762,0.000297192,0.0002277835,0.00005867145,0.00001819117,0.0166573],"genre_scores_gemma":[0.9911337,0.001386876,0.001483524,0.004109043,0.00007970304,0.0001551641,0.00002824364,0.00001490122,0.001608746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9502892,"threshold_uncertainty_score":0.2628986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.108538870059843,"score_gpt":0.4729861105541668,"score_spread":0.3644472404943238,"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."}}