{"id":"W7096150846","doi":"","title":"Selected Industrial Minerals Trends in British Columbia, 2006","year":2010,"lang":"en","type":"article","venue":"","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Clinical trial; Olive oil; Yield (engineering)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004636304,0.00003906249,0.00007640303,0.00005924748,0.00002062247,0.0001706246,0.00004456703,0.0001196599,0.007184154],"category_scores_gemma":[0.00003549994,0.00006839514,0.00001320962,0.000483636,0.000008203267,0.0001551391,0.000002899001,0.0002434734,0.00003435076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009128536,"about_ca_system_score_gemma":0.000014184,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005740416,"about_ca_topic_score_gemma":0.6187389,"domain_scores_codex":[0.9995883,0.00000553796,0.000147937,0.00007897872,0.00006346284,0.0001157943],"domain_scores_gemma":[0.9998453,0.00001468352,0.00000976414,0.00005410246,0.00003519606,0.00004091717],"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":[0.000001133721,0.00003436708,0.02118997,0.00000384886,0.000006283988,0.000005953582,0.00002301698,0.0003531656,0.03994971,0.00001727184,0.9046404,0.03377482],"study_design_scores_gemma":[0.001426226,0.00002379978,0.1048369,0.000009469486,0.000005495907,0.00005324276,0.00004169634,0.008426302,0.003881254,0.00006309351,0.8808754,0.0003570853],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8685501,0.00001456895,0.0000496795,0.00004578129,0.0004567965,0.00003293823,0.000006398679,0.0002721416,0.1305716],"genre_scores_gemma":[0.88509,0.000005592272,0.0001601659,0.00004181646,0.0001347628,0.000009994212,0.00002819638,0.000009781344,0.1145197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6129985,"threshold_uncertainty_score":0.9937234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01459030780787787,"score_gpt":0.2340881675888391,"score_spread":0.2194978597809612,"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."}}