{"id":"W4231257654","doi":"10.31227/osf.io/v3z5t","title":"Pengenalan pada biomaterial","year":2019,"lang":"id","type":"preprint","venue":"","topic":"Edcuational Technology Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Biomaterial; Engineering; Biomedical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008348346,0.000552871,0.0006986566,0.0003561233,0.0001248961,0.0005686581,0.004008237,0.001114982,0.0006294013],"category_scores_gemma":[0.00007592802,0.0005096248,0.0002330056,0.0003261112,0.0001576225,0.000255518,0.004347348,0.0005253247,0.01680995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002337106,"about_ca_system_score_gemma":0.0006572348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005847706,"about_ca_topic_score_gemma":0.00005555954,"domain_scores_codex":[0.995972,0.0002552864,0.0008440148,0.001551072,0.0007781177,0.0005994817],"domain_scores_gemma":[0.9961423,0.0001714889,0.0005177026,0.002751143,0.0002885043,0.0001288862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008671226,0.000848203,0.01638705,0.002500732,0.001765856,0.0003418776,0.003252342,0.0009115278,0.1252582,0.7332534,0.09686441,0.0185297],"study_design_scores_gemma":[0.004270825,0.001130758,0.03875915,0.002348597,0.0002406035,0.001024442,0.0005000881,0.2618664,0.2127398,0.0505255,0.418754,0.007839805],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2715645,0.0009324013,0.4706145,0.01619269,0.08371218,0.004395461,0.0001183193,0.003674717,0.1487952],"genre_scores_gemma":[0.9574512,0.00004705347,0.01411184,0.0002812384,0.0007787285,0.00008136403,0.00006747148,0.00003921119,0.02714184],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6858868,"threshold_uncertainty_score":0.9997355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02939319013882985,"score_gpt":0.2617318843444481,"score_spread":0.2323386942056182,"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."}}