{"id":"W3135043333","doi":"","title":"GEM PRODUCTION AND POTENTIAL IN CANADA","year":2014,"lang":"en","type":"article","venue":"2014 GSA Annual Meeting in Vancouver, British Columbia (19–22 October 2014)","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Production (economics); Business; 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":[0.0003858287,0.0002917253,0.0002315444,0.002309452,0.002861296,0.002093252,0.0008048702,0.0002985849,0.007323662],"category_scores_gemma":[0.0008196118,0.0001920134,0.0003620128,0.004645425,0.0005728421,0.000441198,0.0008025113,0.0005109369,0.000566591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07325583,"about_ca_system_score_gemma":0.04206195,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9973568,"about_ca_topic_score_gemma":0.9990539,"domain_scores_codex":[0.9995397,0.00001989767,0.00001022671,0.0000551605,0.0001668767,0.0002080013],"domain_scores_gemma":[0.9991242,0.00003417838,0.00004730117,0.00001505454,0.0004694849,0.0003096968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002436597,0.0002540483,0.6290008,0.000374879,0.0002512847,0.001915481,0.008056152,0.00493981,0.004479859,0.03762264,0.07951298,0.2311555],"study_design_scores_gemma":[0.00004042586,0.00006269896,0.8661399,0.0001136877,0.00005058131,0.0001796867,0.0069615,0.003298764,0.0009133544,0.001099027,0.1210905,0.00004999249],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8997157,0.005629105,0.0002972026,0.002939841,0.00006281195,0.00004030636,0.01763319,0.00013702,0.07354479],"genre_scores_gemma":[0.9710053,0.001556261,0.0003342888,0.0001092455,0.000007480293,0.000006516207,0.002360143,0.00002275122,0.0245981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07325583,"threshold_uncertainty_score":0.5315107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004019691890823651,"score_gpt":0.1801137873266252,"score_spread":0.1760940954358015,"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."}}