{"id":"W6997244371","doi":"","title":"Visualizing Algae Production Potential in Canada.","year":2020,"lang":"en","type":"other","venue":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Algae; Production (economics); Yield (engineering); Aquatic plant; Cyanobacteria","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":[0.0001574376,0.0004569451,0.0002835077,0.002481007,0.001106278,0.001199843,0.0005195932,0.0002862244,0.02222206],"category_scores_gemma":[0.0004659447,0.0001810707,0.0003684136,0.004309574,0.0001840785,0.0003891145,0.0004063896,0.0004156447,0.00225826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008784285,"about_ca_system_score_gemma":0.01071853,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9850249,"about_ca_topic_score_gemma":0.9923431,"domain_scores_codex":[0.9998667,0.000003060326,0.000002309707,0.00001846046,0.00007013222,0.00003939997],"domain_scores_gemma":[0.999658,0.00002463575,0.00001066873,0.00000594963,0.0002380995,0.00006261835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00114111,0.0002705728,0.1682393,0.00130186,0.000281229,0.001035622,0.00170259,0.04575317,0.05151153,0.008749683,0.4133847,0.3066287],"study_design_scores_gemma":[0.0001348649,0.00007442295,0.7030679,0.0003270088,0.0001758953,0.0003243016,0.003671785,0.1067993,0.01484727,0.002104025,0.1682774,0.0001958748],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4397892,0.002761964,0.01551401,0.002604176,0.0002353935,0.0002748548,0.261736,0.01204215,0.2650424],"genre_scores_gemma":[0.873753,0.002073672,0.02336139,0.0001802267,0.00001619477,0.00008060465,0.04465607,0.001013014,0.05486589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02222206,"threshold_uncertainty_score":0.07434022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0109350372831593,"score_gpt":0.2278265240649784,"score_spread":0.2168914867818191,"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."}}