{"id":"W4205093351","doi":"10.1007/978-3-030-85784-4","title":"Scholarly Publication Trajectories of Early-career Scholars","year":2021,"lang":"en","type":"book","venue":"","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Political science; Sociology; Library science; History; 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":["metaresearch","bibliometrics","scholarly_communication","insufficient_payload"],"consensus_categories":["bibliometrics","insufficient_payload"],"category_scores_codex":[0.02590535,0.0003188554,0.0008405317,0.09684394,0.0002053702,0.01762395,0.005324449,0.0007731844,0.00965314],"category_scores_gemma":[0.1095396,0.0002326221,0.0005235184,0.1578513,0.0003018654,0.004276377,0.001423463,0.001296831,0.001163253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003346449,"about_ca_system_score_gemma":0.003445186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008352969,"about_ca_topic_score_gemma":0.00002069249,"domain_scores_codex":[0.9723551,0.0003049081,0.001627786,0.001370691,0.02372605,0.0006155117],"domain_scores_gemma":[0.954122,0.0039756,0.0008520271,0.002234852,0.03826673,0.00054876],"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":[0.00001762754,0.0001354024,0.03038562,0.00003078088,0.0001121537,0.00001646769,0.0001005701,0.000001202119,0.0003578652,0.04283491,0.7912579,0.1347496],"study_design_scores_gemma":[0.0003019803,0.0001852358,0.05576771,0.00004324442,0.00002211032,0.000005654382,0.0001171104,0.00002884016,0.0008768878,0.02651121,0.9157355,0.0004045262],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007081564,0.004527515,0.001256426,0.0006870775,0.000933489,0.0003775909,0.0002182651,0.00004771476,0.9848704],"genre_scores_gemma":[0.01554934,0.0003477315,0.001523638,0.0001455535,0.0002050902,0.00001378678,0.0001041801,0.00003552058,0.9820752],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.134345,"threshold_uncertainty_score":0.9996145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.602524977077691,"score_gpt":0.5280129047586363,"score_spread":0.07451207231905477,"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."}}