{"id":"W31115938","doi":"10.1111/mmi.14308","title":"Desain instruksional / M. Atwi Suparman","year":2001,"lang":"en","type":"article","venue":"Molecular Microbiology","topic":"Multimedia Learning Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Canada Excellence Research Chairs, Government of Canada","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002489436,0.0001483024,0.0001812515,0.0001187066,0.00007304058,0.00004144173,0.0008488501,0.0001360891,0.00007752959],"category_scores_gemma":[0.00004972923,0.0001402044,0.00007654833,0.0002397147,0.00007874847,0.00007834637,0.0002844204,0.0001792756,0.0008367585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000454763,"about_ca_system_score_gemma":0.0000539813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003594577,"about_ca_topic_score_gemma":0.000006081213,"domain_scores_codex":[0.998624,0.0002720135,0.0002156432,0.0004306777,0.00006553291,0.0003921584],"domain_scores_gemma":[0.9992221,0.00005533537,0.00007452363,0.0005115153,0.00005066871,0.00008585028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004933604,0.00003469889,0.002041152,0.000004114379,0.00002202948,0.0002929447,0.0001610113,0.00009696998,0.9797496,0.007316926,0.002123345,0.008152236],"study_design_scores_gemma":[0.0008738,0.000134836,0.001108494,0.00002165097,0.000005959303,0.002668325,0.00001084705,0.006141994,0.05964302,0.0003727902,0.9285778,0.0004404873],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7035959,0.0003095366,0.2907506,0.001170301,0.0007760815,0.0001793575,0.00000299129,0.0002371337,0.002978148],"genre_scores_gemma":[0.9631948,0.000005705342,0.03473902,0.001185402,0.00006448312,0.00001454136,0.00003135007,0.00001568505,0.0007490161],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9264544,"threshold_uncertainty_score":0.9999412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007034857262269086,"score_gpt":0.2225605816033713,"score_spread":0.2155257243411023,"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."}}