{"id":"W2765317239","doi":"10.5070/bp326115800","title":"Finding Your Fit: A Proposal for Emerging Planning Scholars","year":2013,"lang":"en","type":"article","venue":"Berkeley Planning Journal","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Waterloo","keywords":"Scholarship; Sociology; Engineering ethics; Range (aeronautics); Management science; Political science; Engineering; Law","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007269638,0.0002252727,0.0003311643,0.0006174809,0.001273825,0.002139824,0.000768503,0.0001102704,0.002056229],"category_scores_gemma":[0.002340393,0.0001653261,0.0001968449,0.0004919306,0.00004054259,0.002085454,0.0000957283,0.0006629172,0.00043655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001073989,"about_ca_system_score_gemma":0.0005736816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006746253,"about_ca_topic_score_gemma":0.000001175346,"domain_scores_codex":[0.9958664,0.0002109818,0.001039997,0.0003858213,0.001859213,0.0006375616],"domain_scores_gemma":[0.9971077,0.0008069478,0.000703324,0.0002884166,0.000783525,0.0003101213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001498564,0.0000910008,0.548694,0.00002627073,0.000151714,0.0000565555,0.01105943,0.04554372,0.004320382,0.001085009,0.2012354,0.1875868],"study_design_scores_gemma":[0.00477097,0.0008319265,0.4074329,0.001037851,0.00009888822,0.001235078,0.0246794,0.2872789,0.001133017,0.05529978,0.2148675,0.001333772],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9440675,0.0004806071,0.04217597,0.005760537,0.001644541,0.0005781568,0.000008602434,0.00007084083,0.005213231],"genre_scores_gemma":[0.9520478,0.00000903095,0.04251362,0.0005854865,0.001176224,0.00006643746,0.000008249103,0.00003302368,0.003560135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2417352,"threshold_uncertainty_score":0.9988961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3347173424124197,"score_gpt":0.5273009678173074,"score_spread":0.1925836254048877,"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."}}