{"id":"W6931401940","doi":"10.5281/zenodo.3371922","title":"studentlife: Tidy Handling and Navigation of a Valuable Mobile-Health Dataset","year":2019,"lang":"en","type":"other","venue":"Figshare","topic":"Marine Ecology and Invasive Species","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Software; Open source; Open source software; Identification (biology); Key (lock)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007773939,0.0008936207,0.0008355236,0.005575651,0.0007591987,0.003240226,0.001953829,0.001182729,0.1266263],"category_scores_gemma":[0.06412301,0.0006431491,0.001562501,0.003738349,0.0003725079,0.002792164,0.003903021,0.001256577,0.06233351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008758561,"about_ca_system_score_gemma":0.004083801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008035753,"about_ca_topic_score_gemma":0.01879453,"domain_scores_codex":[0.9973963,0.0007353816,0.0004453824,0.0004312393,0.0008538014,0.0001377895],"domain_scores_gemma":[0.9615366,0.02229815,0.001522592,0.006435141,0.006583489,0.001624057],"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":[0.0001843077,0.00002876433,0.001833459,0.001231499,0.0001398696,0.00005356698,0.0001706238,0.0004698708,0.000372255,0.001849806,0.9313089,0.06235706],"study_design_scores_gemma":[0.0003068901,0.0000492138,0.006199835,0.001402102,0.0001573355,0.0001462481,0.0001826216,0.005009234,0.001249279,0.00837331,0.9768134,0.0001105775],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.004795063,0.001620471,0.04191842,0.004742147,0.00159426,0.000674391,0.8039838,0.1138934,0.02677809],"genre_scores_gemma":[0.03423765,0.001796978,0.06791925,0.00227604,0.0005010781,0.001654924,0.7949363,0.07424468,0.02243312],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.1266263,"threshold_uncertainty_score":0.4236071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0220397898458992,"score_gpt":0.2840204498711941,"score_spread":0.2619806600252949,"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."}}