{"id":"W7064386275","doi":"","title":"Canada – British Columbia Province – Nelson – West from Reservoir","year":2013,"lang":"en","type":"article","venue":"Digital USD (University of San Diego)","topic":"Silicon and Solar Cell Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Period (music); Government (linguistics); Work (physics); Population","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":[0.00001133047,0.00007713715,0.0001578953,0.00002348873,0.00007584301,0.0001779695,0.0003473524,0.0000839753,0.00107992],"category_scores_gemma":[0.00001872765,0.0001439669,0.0000446909,0.0001109761,0.00009905763,0.0005942334,0.0001190573,0.0001169913,0.00004910778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001019394,"about_ca_system_score_gemma":0.00007977701,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.956746,"about_ca_topic_score_gemma":0.9929049,"domain_scores_codex":[0.9994364,0.000003905934,0.00007429473,0.0001551435,0.0001346486,0.0001955968],"domain_scores_gemma":[0.9996141,0.00002952219,0.00002680734,0.000217665,0.00003564993,0.00007620701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000006578699,0.00008613306,0.1758113,0.0001339905,0.0001587813,0.0003468365,0.0002322479,0.0003063349,0.001550547,0.00005506513,0.7199035,0.1014087],"study_design_scores_gemma":[0.000628172,0.0000555766,0.8980151,0.00009771733,0.00001937966,0.000006626512,0.006258584,0.004359377,0.0002317481,0.0006762758,0.08912077,0.0005306514],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9800723,0.0001445959,0.00005700696,0.00004673019,0.00006873464,0.0001248852,0.000263131,0.0002806601,0.01894196],"genre_scores_gemma":[0.9964157,0.00002550883,0.000124975,0.00001530925,0.000009351759,2.925264e-7,0.00006595473,0.0000129255,0.003330021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7222039,"threshold_uncertainty_score":0.9998332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004960727323654416,"score_gpt":0.1290900408040912,"score_spread":0.1241293134804368,"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."}}