{"id":"W2944872060","doi":"","title":"Seeing Green in Canada","year":2016,"lang":"en","type":"article","venue":"Dalhousie review","topic":"American Environmental and Regional History","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00008141143,0.00008443701,0.0001535642,0.000006767158,0.0000263658,4.041248e-7,0.0001491544,0.00001052311,0.004083795],"category_scores_gemma":[0.000006589042,0.00005042758,0.00003108888,0.000102462,0.0002404843,0.00006242394,0.0001005258,0.00003920654,0.0008718759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001067156,"about_ca_system_score_gemma":0.00005218092,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7602395,"about_ca_topic_score_gemma":0.7742146,"domain_scores_codex":[0.9992421,0.00003607288,0.0001533385,0.0001828707,0.0002074719,0.0001781068],"domain_scores_gemma":[0.9996922,0.00002346187,0.00005136193,0.0001582079,5.37135e-7,0.00007425063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002915318,0.00003196224,0.1150895,0.0001814247,0.000004928721,0.0001191178,0.00006141695,0.00001199793,0.0009189334,0.00001751186,0.0457232,0.8378372],"study_design_scores_gemma":[0.00007155463,0.000006719313,0.06267206,0.0005614664,0.000004687115,0.00001347842,0.00001259,0.000002001517,0.00001330658,0.00001603613,0.9365071,0.0001189875],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4969174,0.2422749,0.0003322416,0.03006284,0.0006083397,0.001764077,0.00006069217,0.000110445,0.227869],"genre_scores_gemma":[0.8319894,0.1372699,0.0002621328,0.01552795,0.00005174923,0.00005756356,0.000004419241,0.00003701717,0.01479989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8907839,"threshold_uncertainty_score":0.9999061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008008220384785773,"score_gpt":0.1890159394702525,"score_spread":0.1810077190854667,"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."}}