{"id":"W7095848360","doi":"","title":"VARIATIONS IN LAKE LEVELS","year":2016,"lang":"en","type":"article","venue":"","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Promotion (chess); Work (physics); Field (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000401248,0.0001412527,0.0002895567,0.001238875,0.000612121,0.001211429,0.0003405512,0.000333012,0.005225546],"category_scores_gemma":[0.00164945,0.0002098325,0.0003393154,0.002920816,0.0004061362,0.0006768997,0.0009744258,0.0002849303,0.0009493352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002354661,"about_ca_system_score_gemma":0.001141166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1472147,"about_ca_topic_score_gemma":0.2937202,"domain_scores_codex":[0.999415,0.00009022746,0.00004027002,0.0001776749,0.0001501717,0.0001266396],"domain_scores_gemma":[0.9989562,0.0001083686,0.0002877442,0.00006954907,0.0004784565,0.00009962046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004544136,0.00002459893,0.9442648,0.0002259665,0.0003661303,0.0001948243,0.002475457,0.00160747,0.01061044,0.003331264,0.005411354,0.03103327],"study_design_scores_gemma":[0.000003745871,0.00001684531,0.9935943,0.00001077218,0.00001994852,0.00001903368,0.0004137868,0.0003644051,0.000405708,0.0001543047,0.00498815,0.000009050208],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9499158,0.001366296,0.00172862,0.001030604,0.00003811968,0.0000246918,0.01379584,0.0002658647,0.03183401],"genre_scores_gemma":[0.993038,0.0001508389,0.00048258,0.00005043021,0.00001012428,0.00001697048,0.001895128,0.00003003879,0.004325927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1472147,"threshold_uncertainty_score":0.2927157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.816235350570408,"score_gpt":0.6353197372167319,"score_spread":0.1809156133536761,"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."}}