{"id":"W7038439140","doi":"","title":"Holding still for as long as possible","year":2009,"lang":"en","type":"dissertation","venue":"The Atrium (University of Guelph)","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Perspective (graphical); Production (economics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003318486,0.001188238,0.001105604,0.0008784366,0.01101057,0.01493598,0.001928783,0.003939323,0.2241771],"category_scores_gemma":[0.01385631,0.0006422753,0.0008990805,0.0006145015,0.004120711,0.01016449,0.01085561,0.007929238,0.2658439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002878885,"about_ca_system_score_gemma":0.00486584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006427338,"about_ca_topic_score_gemma":0.01468967,"domain_scores_codex":[0.9943975,0.001224559,0.0001782908,0.00084907,0.002164324,0.001186313],"domain_scores_gemma":[0.9893785,0.0003716648,0.0005109723,0.00140315,0.004534481,0.003801249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005055912,0.00007918472,0.0007763545,0.00008909671,0.00002199444,0.000279996,0.005659854,0.00003599647,0.001371528,0.01528607,0.905661,0.07068828],"study_design_scores_gemma":[0.000002836988,0.00001568045,0.0002771898,0.00005684824,0.000004077656,0.00009657926,0.002063189,0.00001302684,0.00009628746,0.0008349787,0.9965293,0.00001002324],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.009439775,0.005320567,0.008812295,0.1493218,0.03896263,0.0003155005,0.0008200264,0.003493535,0.7835139],"genre_scores_gemma":[0.01582462,0.0008494814,0.001379865,0.01768296,0.001376785,0.00008926159,0.0002886358,0.0006975272,0.9618109],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2241771,"threshold_uncertainty_score":0.7499471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01222571641687991,"score_gpt":0.2500226672769086,"score_spread":0.2377969508600287,"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."}}