{"id":"W6960605515","doi":"10.1371/journal.pone.0169423.g008","title":"Population growth in Alberta and three fast-paced urbanized cities since 1951 until 2011 [37].","year":2017,"lang":"en","type":"other","venue":"Figshare","topic":"Plant pathogens and resistance mechanisms","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population growth; Urbanization; Population; Urban climate; Urban planning","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":[0.0005879421,0.000738619,0.0003679359,0.00220033,0.0016191,0.001722531,0.0009601287,0.0005124555,0.02625914],"category_scores_gemma":[0.0010772,0.0002639657,0.0005695522,0.004256779,0.0003705266,0.0005033778,0.0008334309,0.0007727231,0.004738649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01033752,"about_ca_system_score_gemma":0.02409724,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9662598,"about_ca_topic_score_gemma":0.9827924,"domain_scores_codex":[0.9996006,0.00002193819,0.000009811179,0.00005407632,0.0001554003,0.0001582122],"domain_scores_gemma":[0.9993169,0.00003953812,0.00004014245,0.00002284704,0.0004085631,0.0001718903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0004714835,0.00007876824,0.07127793,0.0008523414,0.0001191315,0.0002746661,0.001039752,0.001601023,0.00105039,0.008109256,0.7813194,0.1338058],"study_design_scores_gemma":[0.00008467328,0.00004398393,0.388925,0.000439925,0.00009771866,0.0001772055,0.001572541,0.0009343358,0.0007569848,0.0009990514,0.6058904,0.00007813564],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.07435112,0.01372634,0.003460612,0.006268982,0.001643689,0.0003061513,0.6605712,0.002886445,0.2367855],"genre_scores_gemma":[0.2600962,0.01049578,0.01048077,0.0016375,0.0002187389,0.0003163121,0.4707188,0.0006401627,0.2453957],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03374016,"threshold_uncertainty_score":0.08784562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02449051945923283,"score_gpt":0.2012710059580051,"score_spread":0.1767804864987722,"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."}}