{"id":"W3117655899","doi":"10.5430/ijhe.v10n3p33","title":"The Use of a Creative Problem Solving Based Genetic Mutation Module in Higher Education","year":2020,"lang":"en","type":"article","venue":"International Journal of Higher Education","topic":"Educational Curriculum and Learning Methods","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universitas Sebelas Maret","keywords":"Test (biology); Plan (archaeology); Genetic algorithm; Mutation; Computer science; Mathematics education; Process (computing); Creative problem-solving; Mathematics; Machine learning; Psychology; Creativity; Programming language","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.00177859,0.0005536526,0.0005620584,0.001166189,0.000521591,0.0008094315,0.001047455,0.0006515085,0.005216744],"category_scores_gemma":[0.003595816,0.0001868383,0.0004594627,0.0007562616,0.0004133685,0.0005905899,0.001204238,0.0008250995,0.001007137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00052332,"about_ca_system_score_gemma":0.001674902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002341131,"about_ca_topic_score_gemma":0.000533176,"domain_scores_codex":[0.9989426,0.00040563,0.00007315908,0.0001475354,0.0002941273,0.0001370457],"domain_scores_gemma":[0.9982254,0.0006934301,0.000244974,0.0001438582,0.0002314215,0.0004608715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0009129824,0.03281252,0.02785561,0.0008814607,0.00005383441,0.0006620896,0.00378748,0.006011427,0.05033069,0.003374647,0.005841831,0.8674753],"study_design_scores_gemma":[0.002153324,0.0808665,0.5314157,0.001211388,0.0004352484,0.005582391,0.006756865,0.04108725,0.1767487,0.02243804,0.130863,0.0004416517],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9479111,0.0002058446,0.03571424,0.0004549508,0.0001055107,0.003179907,0.0002106933,0.0004861779,0.01173152],"genre_scores_gemma":[0.811376,0.0005413789,0.1674527,0.0003101246,0.00006032866,0.004532123,0.000511491,0.00004166309,0.0151741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005216744,"threshold_uncertainty_score":0.01745176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08239964969058851,"score_gpt":0.4033655556110903,"score_spread":0.3209659059205018,"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."}}