{"id":"W4248372346","doi":"10.1007/978-3-030-68514-0_7","title":"Epilogue","year":2021,"lang":"en","type":"book-chapter","venue":"SpringerBriefs in optimization","topic":"Constraint Satisfaction and Optimization","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Computer science; State (computer science); Position (finance); Mathematical economics; Algorithm; Mathematics; Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.0009204083,0.0008459371,0.0005276909,0.001824411,0.0009254779,0.003495185,0.001048708,0.001189951,0.6160814],"category_scores_gemma":[0.004053325,0.0002632531,0.0004907739,0.00118204,0.0004315691,0.002631752,0.001783935,0.001624621,0.3749077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001089822,"about_ca_system_score_gemma":0.00156733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001969451,"about_ca_topic_score_gemma":0.003773264,"domain_scores_codex":[0.999541,0.00009179382,0.00002012702,0.00007136723,0.0002176025,0.00005811585],"domain_scores_gemma":[0.9987343,0.0002448438,0.00003893362,0.00012777,0.0006039582,0.0002502216],"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":[0.00005141912,0.00001838737,0.00007002315,0.000172957,0.000002060163,0.00008002579,0.00003621684,0.00003261504,0.0002314923,0.009020614,0.9006876,0.0895967],"study_design_scores_gemma":[0.000003340696,0.000007269912,0.00005137498,0.00004301774,0.000001133598,0.000050852,0.00001735291,0.00001178384,0.00006277971,0.001928591,0.9978203,0.00000231714],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000726654,0.006135112,0.004894525,0.01126505,0.04200727,0.000305435,0.009438106,0.001745772,0.9234821],"genre_scores_gemma":[0.002780612,0.00272261,0.001910724,0.003901006,0.003772611,0.0001824916,0.003815681,0.0007178539,0.9801964],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6160814,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01441503876922815,"score_gpt":0.2160035190387436,"score_spread":0.2015884802695154,"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."}}