{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005220769,0.0001687811,0.00023999,0.0000249618,0.00008640172,0.00005882837,0.000246932,0.0006106891,0.0008400337],"category_scores_gemma":[0.0002546935,0.00005459186,0.00006766665,0.0002925975,0.00006737025,0.000308527,0.00008974608,0.0003418771,0.00003562955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001495497,"about_ca_system_score_gemma":0.00005062135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007411905,"about_ca_topic_score_gemma":0.0008000642,"domain_scores_codex":[0.9986505,0.0001090857,0.0003034803,0.0003727165,0.0001473854,0.0004168259],"domain_scores_gemma":[0.9993383,0.0003312907,0.00009168913,0.00006980278,0.00004456002,0.0001243595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001911161,0.0001670408,0.1751988,0.00000364078,0.00001332724,0.00001251729,0.00006593126,0.00000269843,0.2344765,0.000140846,0.004093096,0.5856345],"study_design_scores_gemma":[0.001384681,0.0002225246,0.5493643,0.0001224122,0.00000733913,0.000003587301,0.000334895,0.000005642107,0.03506001,0.001097949,0.4118026,0.0005940672],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.981998,0.00002137111,9.426482e-7,0.01516453,0.0002199793,0.0003119028,0.0000192419,0.00004336331,0.002220722],"genre_scores_gemma":[0.9932441,0.000008435139,0.00002311265,0.0002401007,0.000505424,0.00004274166,0.000003989267,8.76366e-7,0.005931222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5850405,"threshold_uncertainty_score":0.919778,"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."}}