{"id":"W7099136197","doi":"","title":"K1S 5B6The effect of hotness on pay and productivity","year":2010,"lang":"en","type":"article","venue":"","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Productivity; Earnings; Quality (philosophy); Rank (graph theory); Sample (material)","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":[0.002727552,0.0004134651,0.0006935691,0.001605634,0.001035364,0.00227571,0.001047627,0.001087033,0.1830042],"category_scores_gemma":[0.0150645,0.000204465,0.001198626,0.001940096,0.0007119794,0.001107708,0.001319715,0.001403592,0.02274681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002450459,"about_ca_system_score_gemma":0.0025253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05170969,"about_ca_topic_score_gemma":0.03830677,"domain_scores_codex":[0.9975943,0.0005722795,0.0002364641,0.0003402392,0.000658011,0.0005987552],"domain_scores_gemma":[0.9770669,0.009045668,0.004859976,0.001368816,0.004609533,0.003049113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00129034,0.0003731339,0.8987392,0.0004818611,0.0005325881,0.0003297995,0.0006730169,0.001219916,0.0009939737,0.006370031,0.04494861,0.04404752],"study_design_scores_gemma":[0.00004731551,0.000152958,0.9801861,0.00009299669,0.0001515373,0.0001057862,0.001128958,0.001605501,0.0007109028,0.002327831,0.01346657,0.00002353644],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8373857,0.001948742,0.004913969,0.01468601,0.0006550137,0.0003013672,0.04773866,0.0004294126,0.09194114],"genre_scores_gemma":[0.9222335,0.0002327666,0.0009238825,0.0006000205,0.0001766733,0.000123904,0.007034613,0.00007944925,0.06859522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1830042,"threshold_uncertainty_score":0.6122099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002365267368661124,"score_gpt":0.1980733249779159,"score_spread":0.1957080576092547,"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."}}