{"id":"W4377565491","doi":"10.1093/icb/icad035","title":"Common Interests Without Common Expertise: Reflections on Early-career Experiences in Cross-Disciplinary Research","year":2023,"lang":"en","type":"article","venue":"Integrative and Comparative Biology","topic":"Interdisciplinary Research and Collaboration","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Company of Biologists; National Science Foundation","keywords":"Discipline; Engineering ethics; Work (physics); Cross disciplinary; Perspective (graphical); Foundation (evidence); Sociology; Political science; Engineering; Social science; Data science; Computer science","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":[0.002942098,0.0002933273,0.0006528557,0.001428448,0.0009064354,0.0004768987,0.0008815083,0.0001990358,0.000226447],"category_scores_gemma":[0.0005921331,0.0001839783,0.00008985305,0.003351444,0.001889223,0.0005053707,0.0007239722,0.0008960952,0.0007408043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001811149,"about_ca_system_score_gemma":0.0001372235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002059828,"about_ca_topic_score_gemma":0.01246672,"domain_scores_codex":[0.9938973,0.002835294,0.0007713527,0.0009715237,0.0008177753,0.0007068133],"domain_scores_gemma":[0.9955189,0.002649618,0.000146776,0.0005247982,0.0009718703,0.0001880585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004613244,0.0005104256,0.5600681,0.000007757807,0.00007698403,0.0001135496,0.3263393,0.00009096912,0.01328035,0.0653163,0.0218236,0.007759477],"study_design_scores_gemma":[0.001028447,0.007352463,0.4617858,0.0002137894,0.000002743212,0.00001527548,0.4207127,0.004706193,0.01045215,0.0882002,0.005048837,0.0004813813],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9675301,0.0002351323,0.0001284465,0.001474674,0.0003650796,0.0005318763,0.0000392439,0.00006056913,0.02963482],"genre_scores_gemma":[0.9942006,0.00002696188,0.00003171967,0.00007113608,0.0001337273,0.0007134083,0.00003509332,0.000009740419,0.004777541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09828225,"threshold_uncertainty_score":0.9521787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6057670910793649,"score_gpt":0.6209865551570221,"score_spread":0.01521946407765717,"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."}}