{"id":"W2199545370","doi":"","title":"Biology Labs Online: Gauging Productive Technologies","year":2012,"lang":"en","type":"article","venue":"Society for Information Technology & Teacher Education International Conference","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Acadia University","funders":"","keywords":"Data science; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0001885631,0.0001668753,0.0001260496,0.0003022186,0.0000847116,0.00003995084,0.0003688514,0.0003586745,0.00009646393],"category_scores_gemma":[0.0001879562,0.0001676284,0.00009575918,0.0003787275,0.0001595927,0.0009723032,0.00005298114,0.0003367027,0.00005424231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002491231,"about_ca_system_score_gemma":0.0001152014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005396604,"about_ca_topic_score_gemma":6.41388e-7,"domain_scores_codex":[0.9991385,0.000004453059,0.0003216681,0.0001207201,0.0001130863,0.000301565],"domain_scores_gemma":[0.9992869,0.00002222585,0.00009258321,0.0002035683,0.000348477,0.00004625595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007471132,0.0003813744,0.00857844,0.000328805,0.0002913049,9.627816e-9,0.005407779,0.00006969647,0.004296934,0.2363378,0.05435465,0.6899458],"study_design_scores_gemma":[0.0005947518,0.000066036,0.006568535,0.0001299172,0.00006313083,0.00002553803,0.04154819,0.01884871,0.01284813,0.02333078,0.8951587,0.0008175879],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4180402,0.003499355,0.4709206,0.04761028,0.02383702,0.002182378,0.0004450493,0.01226138,0.02120375],"genre_scores_gemma":[0.9736645,0.0001971911,0.02411322,0.0001403025,0.0003360547,0.0004896358,0.0007866019,0.00001539367,0.000257116],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.840804,"threshold_uncertainty_score":0.6835687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01568045210084603,"score_gpt":0.2824849230027139,"score_spread":0.2668044709018679,"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."}}