{"id":"W33772102","doi":"10.1038/s42003-021-01913-9","title":"Lessons from Infrastructure Development in Ontario","year":2009,"lang":"en","type":"article","venue":"Communications Biology","topic":"Underground infrastructure and sustainability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Critical infrastructure; Business; Environmental planning; Computer science; Geography; Computer security","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":[0.0006255458,0.0003634856,0.0001639814,0.0006020551,0.004358093,0.002775785,0.0007655002,0.001345204,0.02449205],"category_scores_gemma":[0.00161547,0.000212119,0.0002780699,0.001259749,0.002084404,0.001900772,0.00255761,0.001514393,0.001563825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0345673,"about_ca_system_score_gemma":0.04887367,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.841558,"about_ca_topic_score_gemma":0.9197354,"domain_scores_codex":[0.9990851,0.0000886605,0.00002917424,0.00008939031,0.000321964,0.0003857865],"domain_scores_gemma":[0.9990581,0.00009064147,0.00005590126,0.00004903694,0.0003616656,0.0003847568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000151404,0.0001620683,0.02479931,0.0006283186,0.00003649579,0.006545569,0.0126159,0.002044894,0.003273774,0.3841286,0.1973602,0.3682536],"study_design_scores_gemma":[0.000008339439,0.00004172568,0.01338017,0.0001557327,0.000006511171,0.000252006,0.003912853,0.0001903627,0.0004013267,0.007435052,0.9741992,0.00001655982],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07906199,0.008435681,0.00272165,0.1432499,0.001265403,0.00013438,0.0008868887,0.0001343767,0.7641097],"genre_scores_gemma":[0.5514992,0.01739226,0.003923756,0.01128001,0.0003153168,0.00007840468,0.0004714049,0.0001181843,0.4149215],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.158442,"threshold_uncertainty_score":0.3187502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01934629476445182,"score_gpt":0.2646599253600894,"score_spread":0.2453136305956376,"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."}}