{"id":"W2955644084","doi":"","title":"Research farms upcycle for scarecrows : news snippets","year":2015,"lang":"en","type":"article","venue":"Agriprobe","topic":"Agricultural Innovations and Practices","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Competition (biology); Quarter (Canadian coin); Agriculture; Business; Political science; Agricultural economics; Engineering; Marketing; Economic growth; Geography; Economics","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":[0.0008538223,0.0009643482,0.0003911197,0.001195768,0.001428085,0.002356153,0.000528883,0.002398406,0.136385],"category_scores_gemma":[0.002372388,0.0003485504,0.0003428346,0.001475209,0.000341818,0.001640452,0.0008770257,0.002551713,0.038978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006578721,"about_ca_system_score_gemma":0.0005415791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009284622,"about_ca_topic_score_gemma":0.03641139,"domain_scores_codex":[0.9996227,0.00003699087,0.00002071581,0.00002440633,0.0002378469,0.00005730744],"domain_scores_gemma":[0.9976331,0.001187643,0.0002030803,0.00007567215,0.000471611,0.0004287917],"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":[0.0000710106,0.00002265455,0.0002041353,0.0001231423,0.000002864291,0.0001427041,0.00005347213,0.00002480281,0.0003172553,0.0001602517,0.9787193,0.0201585],"study_design_scores_gemma":[0.00001638421,0.00004380437,0.002337785,0.0001498061,0.000005664408,0.00009416878,0.0002460583,0.00007649919,0.0001813422,0.00007754339,0.9967582,0.00001272511],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01230332,0.02614856,0.002992085,0.1536327,0.1175241,0.0007667663,0.03080504,0.005490398,0.650337],"genre_scores_gemma":[0.02149011,0.02481537,0.003863467,0.04873451,0.04946662,0.0004114801,0.01996087,0.001651768,0.8296059],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.136385,"threshold_uncertainty_score":0.4562533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3090500986794099,"score_gpt":0.3877215742287016,"score_spread":0.07867147554929177,"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."}}