{"id":"W2740713536","doi":"","title":"The Combine Harvester in Western Canada1","year":2016,"lang":"en","type":"article","venue":"Scientific Agriculture","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Agricultural engineering; Computer science; Engineering","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":[0.0001255606,0.00007208864,0.00004770108,0.0000343064,0.0001030726,0.0002158142,0.0001756921,0.00002929939,0.00002698258],"category_scores_gemma":[0.000007375414,0.00002895881,0.0000185125,0.0002935276,0.00006294218,0.0001590548,0.00002995659,0.00003348093,0.0000960679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005585046,"about_ca_system_score_gemma":0.000005826465,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001938613,"about_ca_topic_score_gemma":0.0288186,"domain_scores_codex":[0.9994184,0.0000105303,0.0001071569,0.0001244843,0.0001501067,0.000189354],"domain_scores_gemma":[0.999736,0.00001269241,0.00001199321,0.0001696245,0.00002506324,0.00004466721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002944514,0.00002642121,0.01616003,0.00002870415,0.00002140419,0.00001220534,0.0002933156,0.0003870778,0.01766463,0.01187662,0.944519,0.009007598],"study_design_scores_gemma":[0.0001802091,0.000003016384,0.05664703,0.00002448468,0.000001934355,0.000001172022,0.00006768279,0.00005841427,0.001393798,0.00008620039,0.9414545,0.00008158432],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9463223,0.0009098917,0.003443029,0.01083885,0.01002368,0.0009397491,0.00005326518,0.0006276058,0.02684165],"genre_scores_gemma":[0.8707089,0.00001702654,0.00001058853,0.00004105605,0.0000246367,0.00001429344,0.000008889783,0.000005349204,0.1291693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1023277,"threshold_uncertainty_score":0.9889029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004605752596534817,"score_gpt":0.1686361689150757,"score_spread":0.1640304163185409,"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."}}