{"id":"W2810726340","doi":"","title":"Falling prices slow down M&A activity in fertiliser industry","year":2016,"lang":"en","type":"article","venue":"Industrial Minerals","topic":"Bioeconomy and Sustainability Development","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tonne; Potash; Falling (accident); Agricultural economics; Environmental science; Economics; Waste management; Potassium; Engineering; Chemistry","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":[0.002275733,0.0004002341,0.0002200711,0.001747824,0.001512083,0.005100498,0.0008377814,0.002086003,0.02899056],"category_scores_gemma":[0.009061308,0.0003470416,0.0005802048,0.001475861,0.001130663,0.002907264,0.001756357,0.002301047,0.007438942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006812925,"about_ca_system_score_gemma":0.008220199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09360404,"about_ca_topic_score_gemma":0.1039271,"domain_scores_codex":[0.9974501,0.000172177,0.00009748402,0.0003022613,0.001371409,0.00060657],"domain_scores_gemma":[0.9940683,0.0008163116,0.001102617,0.000229398,0.0025992,0.001184167],"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":[0.0006408432,0.0005368322,0.1369222,0.0004536973,0.00008671678,0.0007391393,0.001526285,0.001667724,0.01111885,0.06929123,0.4109535,0.366063],"study_design_scores_gemma":[0.00008398033,0.0005423044,0.245076,0.0002153539,0.00003660734,0.0002604828,0.002464754,0.001465314,0.005224087,0.004994594,0.7395749,0.00006159057],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4275131,0.00586861,0.006587461,0.07761507,0.002466052,0.0002439549,0.006183781,0.002904083,0.4706179],"genre_scores_gemma":[0.8411739,0.003074608,0.00291663,0.02515455,0.0005807366,0.00008240312,0.002821419,0.0002444082,0.1239514],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09360404,"threshold_uncertainty_score":0.1861184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04824352404485711,"score_gpt":0.239894959933981,"score_spread":0.1916514358891239,"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."}}