{"id":"W7027373063","doi":"","title":"Commuter &amp; Resident Student Non-Participants for Move UBC","year":2019,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Plant nutrient uptake and metabolism","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Promotion (chess); Variety (cybernetics); Social media; Health promotion","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":[0.002721909,0.00050638,0.0006732097,0.0007675154,0.004443135,0.002166893,0.001125148,0.0009454861,0.03015875],"category_scores_gemma":[0.006612893,0.0003936294,0.0004407781,0.0005262694,0.0008495164,0.0008862486,0.003620789,0.001808607,0.00943813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001324045,"about_ca_system_score_gemma":0.004291416,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007519871,"about_ca_topic_score_gemma":0.03015114,"domain_scores_codex":[0.9982652,0.0003717099,0.0001142415,0.0001893352,0.0005152866,0.0005442933],"domain_scores_gemma":[0.9947093,0.0003847912,0.0004087453,0.0002658641,0.002106535,0.002124797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003027805,0.009695528,0.2873703,0.00199859,0.0000926123,0.002768032,0.2791437,0.0001649845,0.01022482,0.002449841,0.1202307,0.2828331],"study_design_scores_gemma":[0.0002336699,0.004817341,0.3099317,0.0005441224,0.00006487123,0.001189217,0.4706184,0.0004298275,0.004435007,0.001023433,0.2065782,0.0001341245],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9689398,0.0002859602,0.00109357,0.001810861,0.0003549692,0.004255673,0.003737525,0.0001855779,0.01933613],"genre_scores_gemma":[0.8982994,0.0006225771,0.003262257,0.002537866,0.0001734743,0.02167203,0.001875675,0.00009216888,0.07146453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9924802,"threshold_uncertainty_score":0.1008911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01976302632812059,"score_gpt":0.2038376271833585,"score_spread":0.1840746008552379,"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."}}