{"id":"W4210681716","doi":"10.19173/irrodl.v22i4.5437","title":"An Internet Articles Retrieval Agent Combined With Dynamic Associative Concept Maps to Implement Online Learning in an Artificial Intelligence Course","year":2022,"lang":"en","type":"article","venue":"The International Review of Research in Open and Distributed Learning","topic":"Educational Technology and Assessment","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; The Internet; Search engine; Control (management); World Wide Web; Filter (signal processing); Associative property; Multimedia; Artificial intelligence; Information retrieval","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005470826,0.00009523306,0.0002030839,0.0001694877,0.0002144444,0.0001618805,0.001980861,0.00002080776,0.0001221737],"category_scores_gemma":[0.0005164721,0.0000752898,0.0000195135,0.0009802959,0.000104713,0.0003066238,0.001387811,0.0009677367,0.000002570998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004011953,"about_ca_system_score_gemma":0.0003023788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002497393,"about_ca_topic_score_gemma":0.0003206257,"domain_scores_codex":[0.9969517,0.001240418,0.0004077033,0.0003498767,0.000787952,0.000262364],"domain_scores_gemma":[0.998742,0.00049992,0.0001728404,0.0002235998,0.0002836016,0.0000780676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001191414,0.00463569,0.1438922,0.00021809,0.0001692299,0.0001368536,0.01016595,0.02076849,0.0006918518,0.4796313,0.0006781757,0.3378208],"study_design_scores_gemma":[0.002103853,0.01357028,0.1886925,0.00637826,0.00003299239,0.00006890175,0.1733845,0.536141,0.00251534,0.06431274,0.01182583,0.0009737938],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9467947,0.0009985437,0.01251321,0.03840478,0.0000883714,0.001013818,0.00008180198,0.00002885548,0.00007593341],"genre_scores_gemma":[0.9976806,0.0003262621,0.001234161,0.0002245131,0.00001033558,0.0001029458,0.0003531847,0.000005415144,0.00006259826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5153726,"threshold_uncertainty_score":0.4204388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0947574939811753,"score_gpt":0.4802984297827489,"score_spread":0.3855409358015736,"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."}}