{"id":"W2275828926","doi":"","title":"JSE - Closing out the third quarter : deal selection","year":2014,"lang":"en","type":"article","venue":"Without Prejudice","topic":"Dental Education, Practice, Research","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Closing (real estate); Quarter (Canadian coin); Selection (genetic algorithm); Computer science; Political science; History; Artificial intelligence; Law","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":[0.01162627,0.000334967,0.0007559446,0.001596151,0.009574893,0.01253125,0.001381222,0.008727929,0.07704202],"category_scores_gemma":[0.03470896,0.0006775848,0.0006629826,0.00130539,0.001884026,0.00536511,0.005157521,0.009676273,0.01853143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00330618,"about_ca_system_score_gemma":0.00833607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006241839,"about_ca_topic_score_gemma":0.0203415,"domain_scores_codex":[0.9924264,0.001046115,0.0003220875,0.0006228532,0.002574163,0.003008459],"domain_scores_gemma":[0.983003,0.004263373,0.001035866,0.001675495,0.003969294,0.006052992],"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":[0.0007438597,0.0006806334,0.03577222,0.0001325774,0.00003651213,0.001645883,0.00509819,0.00018475,0.002654947,0.1632399,0.686982,0.1028285],"study_design_scores_gemma":[0.0001091596,0.000326564,0.05463807,0.0003278312,0.00003740529,0.0007534492,0.01575626,0.001106251,0.003854051,0.04442855,0.8785439,0.0001184458],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1390304,0.001446824,0.006555425,0.1241959,0.008339806,0.0005823435,0.001094643,0.0005454255,0.7182092],"genre_scores_gemma":[0.258652,0.0004272455,0.001780649,0.04635072,0.002097048,0.0003276386,0.0004781919,0.0003839021,0.6895027],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07704202,"threshold_uncertainty_score":0.2577312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06363666473984822,"score_gpt":0.468238667093574,"score_spread":0.4046020023537258,"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."}}