{"id":"W968188663","doi":"","title":"ENVIRONMENT AND ECONOMY WIN IN NOVA SCOTIA","year":2005,"lang":"en","type":"article","venue":"Biocycle: Journal of composting and recycling","topic":"Municipal Solid Waste Management","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nova scotia; Nova (rocket); Business; Geology; Engineering; Aeronautics; Oceanography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007028673,0.0001151425,0.0001939964,0.00007894618,0.00006185183,0.00004508071,0.000131152,0.00003953629,0.0001535686],"category_scores_gemma":[0.00002156454,0.0001007037,0.00003051914,0.00005857799,0.0001084363,0.0001885478,0.0002284898,0.0001954337,0.0000263601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00010801,"about_ca_system_score_gemma":0.000003385319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001937567,"about_ca_topic_score_gemma":0.00006485703,"domain_scores_codex":[0.9989976,0.00005477617,0.0004508139,0.0001602395,0.0001336835,0.0002029067],"domain_scores_gemma":[0.9994802,0.00006740569,0.0002407739,0.0000956543,0.00000281346,0.0001131107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009446658,0.0002212791,0.4054597,0.0000483961,0.00005232062,0.00006005916,0.00150623,0.2175607,0.006357866,0.00004784123,0.0002952542,0.3682959],"study_design_scores_gemma":[0.006148981,0.0006945262,0.7051644,0.001036696,0.0001229335,0.0008618993,0.001940772,0.2062406,0.003483652,0.001030572,0.07197643,0.001298581],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925566,0.0007024573,0.0001697874,0.000751085,0.00007580313,0.00007838776,2.936742e-7,0.000003878095,0.005661678],"genre_scores_gemma":[0.9937807,0.0001791438,0.005714134,0.0001433114,0.0001121041,2.601398e-7,2.514773e-7,0.000009213999,0.00006089265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3669973,"threshold_uncertainty_score":0.4106578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01425191363325924,"score_gpt":0.2325332145452075,"score_spread":0.2182813009119482,"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."}}