{"id":"W7099029648","doi":"","title":"Contractors and Employer Strategies on theWestern Canadian and Central Queensland Coalfields","year":2013,"lang":"en","type":"article","venue":"","topic":"Freshwater macroinvertebrate diversity and ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Field (mathematics); Government (linguistics)","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":[0.004936662,0.0001384798,0.000221865,0.004702979,0.01122064,0.004770129,0.001252294,0.001313136,0.01324797],"category_scores_gemma":[0.009516793,0.0002002428,0.0001506306,0.007870832,0.002759468,0.001613906,0.003053578,0.0006885497,0.0004682892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03908107,"about_ca_system_score_gemma":0.08317316,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8853645,"about_ca_topic_score_gemma":0.959345,"domain_scores_codex":[0.9943243,0.0008416845,0.0001570531,0.0002785313,0.002133881,0.002264653],"domain_scores_gemma":[0.9852203,0.003538444,0.001854275,0.0003468296,0.004167897,0.004872364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004739107,0.0002781722,0.4284877,0.000514532,0.00005962104,0.001110467,0.2046181,0.001201827,0.00258403,0.0617771,0.04735748,0.2515371],"study_design_scores_gemma":[0.00003077151,0.00009957219,0.5980041,0.0005260503,0.00002701143,0.0001366445,0.2067598,0.000402717,0.0005843699,0.001206924,0.1921719,0.00005025897],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8920684,0.003234925,0.0001377184,0.01253468,0.00006572306,0.00007543152,0.0005781327,0.0000130495,0.09129193],"genre_scores_gemma":[0.9608262,0.001527785,0.0001163278,0.000982411,0.00002177899,0.00002596526,0.0001779558,0.000008248936,0.0363135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1146355,"threshold_uncertainty_score":0.2835543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005598115313169826,"score_gpt":0.1664379708759715,"score_spread":0.1608398555628017,"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."}}