{"id":"W4240442624","doi":"10.24908/iqurcp.8838","title":"BioBoxes: Think Inside the Box","year":2018,"lang":"en","type":"article","venue":"Inquiry Queen s Undergraduate Research Conference Proceedings","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001374246,0.0002309476,0.0001856041,0.0002929257,0.0003595855,0.0003793565,0.0007103176,0.000201046,0.0001350527],"category_scores_gemma":[0.00045263,0.0001639797,0.00005152271,0.001097888,0.001212415,0.0003933498,0.0001615527,0.0009653414,0.00092334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001897401,"about_ca_system_score_gemma":0.000162681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008192225,"about_ca_topic_score_gemma":0.00001231956,"domain_scores_codex":[0.9976471,0.00003583841,0.0002917126,0.0003491337,0.000835642,0.0008405904],"domain_scores_gemma":[0.9983935,0.0002110376,0.00002803494,0.0002652993,0.0008324075,0.0002697566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006583479,0.0001711835,0.0009147025,0.001367603,0.0002884876,0.00001070439,0.04102687,0.00003878771,0.04355331,0.1255378,0.7298813,0.05714335],"study_design_scores_gemma":[0.001025357,0.0009188058,0.004987186,0.001098757,0.00005059675,0.00008384117,0.01442227,0.0605738,0.05673667,0.440348,0.4181194,0.001635321],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.645979,0.001112873,0.04379504,0.1942849,0.006198333,0.002307545,0.00002016542,0.004660746,0.1016413],"genre_scores_gemma":[0.9961395,0.000647824,0.0008473753,0.0001234189,0.001331454,0.00009095429,0.00000635372,0.0000499189,0.0007631524],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3501605,"threshold_uncertainty_score":0.9998546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07804854101600464,"score_gpt":0.3382358436682443,"score_spread":0.2601873026522397,"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."}}