{"id":"W6901622532","doi":"10.6068/dp15e7b1d146125","title":"Trend 2009 - 2011. Food and Agriculture Organization of the United Nations. Food and Agriculture Organization Statistics: Trade - Detailed Trade Matrix | Reporter Country: Canada | Partner Country: Trinidad and Tobago | Item: Flax fibre and tow | Element: Export Quantity - tonnes, 2009-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 067-001-074.","year":2017,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Agency (philosophy); European union; Mandate; World trade; Food security","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005879176,0.001068749,0.001256525,0.000323124,0.0005933336,0.0007008421,0.001260389,0.0009077202,0.001827903],"category_scores_gemma":[0.0002111713,0.0007669828,0.000001181423,0.0003833579,0.0004625322,0.0008100413,0.0006599661,0.0006679414,0.00003366363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001079635,"about_ca_system_score_gemma":0.0005610554,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5852898,"about_ca_topic_score_gemma":0.879987,"domain_scores_codex":[0.9946548,0.000493139,0.001306207,0.001684949,0.001215603,0.0006452813],"domain_scores_gemma":[0.9940691,0.0004225826,0.002480413,0.00247776,0.0001064266,0.0004437432],"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":[0.0000585566,0.0001427097,0.00151685,0.0009140916,0.0006227331,0.00007980802,0.0000244047,0.000002214878,0.000172246,0.0008654158,0.9955636,0.00003740846],"study_design_scores_gemma":[0.001783149,0.0002115739,0.00414329,0.0000879963,0.001562122,0.0008829787,0.0002520677,0.0001788449,0.000003587711,7.721329e-7,0.9898935,0.001000092],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001504844,0.004190919,0.00000733615,0.00003561523,0.0002380576,0.001722718,0.9933106,0.000123449,0.0002207967],"genre_scores_gemma":[0.001987856,0.005438102,0.0001606233,0.00009154208,0.0002289903,0.0000166567,0.9909978,0.0003015909,0.0007768178],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2946972,"threshold_uncertainty_score":0.9994781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01789723193964185,"score_gpt":0.2417153684985389,"score_spread":0.223818136558897,"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."}}