{"id":"W7098770020","doi":"","title":"Industrial Minerals with emphasis on Western North America 61 HYDROMAGNESITE IN BRITISH COLUMBIA, CANADA","year":2014,"lang":"en","type":"article","venue":"","topic":"Phytochemistry and Biological Activities","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Industrial Revolution; Western europe; Emphasis (telecommunications)","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":[0.0001951048,0.0005032504,0.0002809067,0.007824298,0.004246994,0.002075741,0.0007346653,0.0003320217,0.008025357],"category_scores_gemma":[0.0004960393,0.0002322451,0.0001983046,0.01621549,0.0008646136,0.0004972056,0.0006927143,0.0005814706,0.0008452329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02254914,"about_ca_system_score_gemma":0.03663815,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9966865,"about_ca_topic_score_gemma":0.9991032,"domain_scores_codex":[0.9996809,0.00001036389,0.00002471647,0.00004659973,0.0001352948,0.0001022266],"domain_scores_gemma":[0.9991455,0.00003062656,0.00007405753,0.0000144524,0.0006236981,0.0001117178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002297218,0.0001361735,0.442225,0.0025312,0.0001389383,0.002918522,0.007258671,0.001257852,0.007895031,0.01083406,0.1196751,0.4048997],"study_design_scores_gemma":[0.000009461861,0.00001605905,0.7796285,0.0007902411,0.00004865111,0.0004988636,0.006344073,0.0002487005,0.0006225646,0.0003600505,0.2114002,0.00003267047],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5513563,0.1166846,0.0007201777,0.007139514,0.0005035919,0.0001831691,0.02169781,0.0001955238,0.3015194],"genre_scores_gemma":[0.8406654,0.05430894,0.002036693,0.0009030366,0.00009207727,0.00004289826,0.004893217,0.00007231909,0.09698549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02254914,"threshold_uncertainty_score":0.1636063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01380997008525387,"score_gpt":0.1687905313211229,"score_spread":0.1549805612358691,"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."}}