{"id":"W7077046517","doi":"10.1093/icesjms/fsaf143","title":"Guidelines for ensuring meaningful engagement of early career researchers in scientific collaborations: recommendations from and for marine and polar scientists","year":2025,"lang":"en","type":"article","venue":"ICES Journal of Marine Science","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski","funders":"Natural Environment Research Council; Maj ja Tor Nesslingin Säätiö","keywords":"Inclusion (mineral); Disadvantaged; Ethnic group; Process (computing); Citizen journalism; Equity (law)","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":[],"consensus_categories":[],"category_scores_codex":[0.006749825,0.00007282034,0.0002567214,0.0009524264,0.0004084357,0.0003841613,0.0003219272,0.00002039527,0.00008490142],"category_scores_gemma":[0.002389755,0.00007475266,0.00003861629,0.0007874409,0.0005533721,0.0006528462,0.0004892467,0.00006769987,0.000002146957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008869904,"about_ca_system_score_gemma":0.000151769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004071266,"about_ca_topic_score_gemma":0.0003552631,"domain_scores_codex":[0.9986637,0.00001275938,0.0007077184,0.0003262411,0.00008103136,0.0002085493],"domain_scores_gemma":[0.9983317,0.0002439723,0.0004296926,0.0001419188,0.000790035,0.00006272037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002066244,0.0001748632,0.839436,0.0001990832,0.0001798678,0.000001736966,0.005169453,0.0003403344,0.001305991,0.08442198,0.0288085,0.03975556],"study_design_scores_gemma":[0.00621451,0.0004895856,0.4446793,0.0004560708,0.00007407151,0.000003915016,0.01218878,0.01606689,0.002146476,0.1275479,0.3895502,0.0005823859],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880111,0.001001255,0.0008776103,0.002402515,0.001923669,0.0003514628,0.0003909288,0.000003276961,0.005038224],"genre_scores_gemma":[0.9298859,0.0004830105,0.05960989,0.00008991271,0.00006189779,0.00002025477,0.000008391894,0.000006868896,0.009833865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3947568,"threshold_uncertainty_score":0.3704476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2886159512787914,"score_gpt":0.3672150631140625,"score_spread":0.07859911183527118,"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."}}