{"id":"W2135421173","doi":"10.1177/0023677215570990","title":"Lennie: a smartphone application with novel implications for the management of animal colonies","year":2015,"lang":"en","type":"article","venue":"Laboratory Animals","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint John Regional Hospital; Ontario Tech University; University of Guelph","funders":"Canadian Institutes of Health Research","keywords":"Computer science; Usability; Smartphone application; Function (biology); Software; Focus (optics); Simple (philosophy); Risk analysis (engineering); Data science; Human–computer interaction; Business; Multimedia; Operating system","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008096598,0.001174163,0.000565131,0.0007893299,0.0003620935,0.000826736,0.001429415,0.001438163,0.02258358],"category_scores_gemma":[0.003122578,0.0003662453,0.0005055556,0.0003456901,0.0003390976,0.001481169,0.002052275,0.0006788549,0.006316301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000233187,"about_ca_system_score_gemma":0.000478083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007591695,"about_ca_topic_score_gemma":0.001943902,"domain_scores_codex":[0.9995682,0.0001111788,0.00004997223,0.00006351557,0.0001579584,0.00004923507],"domain_scores_gemma":[0.9984509,0.0007027698,0.0001095748,0.0001682239,0.000308982,0.0002595347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00156687,0.0008894372,0.007960723,0.002483791,0.0001429285,0.002700204,0.002060468,0.0009416467,0.07314553,0.00336502,0.232477,0.6722664],"study_design_scores_gemma":[0.001028691,0.003612732,0.03956301,0.001822838,0.0005243209,0.009779052,0.001220744,0.02705608,0.03639619,0.005515283,0.8728855,0.0005953687],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1528443,0.01264774,0.5214558,0.01276,0.003539677,0.008665509,0.01012383,0.1807276,0.09723566],"genre_scores_gemma":[0.333878,0.009001851,0.5238969,0.009900995,0.001304363,0.006351982,0.00850049,0.004547621,0.1026177],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02258358,"threshold_uncertainty_score":0.0755496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08358350942095234,"score_gpt":0.423238014845591,"score_spread":0.3396545054246387,"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."}}