{"id":"W4297384879","doi":"10.1038/s41557-022-01053-5","title":"Postdoc progression","year":2022,"lang":"en","type":"article","venue":"Nature Chemistry","topic":"Biomedical Ethics and Regulation","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Chemistry; Position (finance); Track (disk drive); Business; Computer science; Finance","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003570482,0.0005660453,0.0005458663,0.001633304,0.004019625,0.008988626,0.001402239,0.003013353,0.5389801],"category_scores_gemma":[0.009894354,0.0003920595,0.0005958893,0.0007361872,0.0009262806,0.003021933,0.00560313,0.004572023,0.3142799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003368909,"about_ca_system_score_gemma":0.01079991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005312089,"about_ca_topic_score_gemma":0.01595049,"domain_scores_codex":[0.9966623,0.0002590772,0.00008242848,0.000399552,0.00154293,0.001053781],"domain_scores_gemma":[0.9877993,0.0004769156,0.0001762343,0.0009724685,0.004872339,0.005702676],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007951427,0.00006589627,0.0003542071,0.00003172245,0.000002324673,0.00007886923,0.0001150745,0.00002777054,0.0002356584,0.006791197,0.9541087,0.03810912],"study_design_scores_gemma":[0.00001354427,0.00003861517,0.0007419129,0.00002355502,0.000001505614,0.00003421053,0.0001025865,0.00003051439,0.0002088622,0.001246191,0.9975522,0.000006194476],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.005182359,0.0007762241,0.001719534,0.03097458,0.05297064,0.0003705845,0.003277568,0.002725353,0.9020031],"genre_scores_gemma":[0.005615732,0.0001069351,0.0003399521,0.002646957,0.00134285,0.00005905496,0.0005491058,0.0003585487,0.9889809],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9964295,"threshold_uncertainty_score":0.6575888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005057664734431395,"score_gpt":0.3126494200428537,"score_spread":0.3075917553084223,"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."}}