{"id":"W7098735393","doi":"","title":"AND MOISTURE BUDGET CALCULATIONS FOR LABRADOR-UNGAVA","year":2015,"lang":"en","type":"article","venue":"","topic":"Plant Reproductive Biology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Promotion (chess); Work (physics); Valorisation; Moisture","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":[0.0006049662,0.0006071685,0.0005117686,0.001359563,0.0005548368,0.0009677634,0.001414891,0.0006118466,0.0120994],"category_scores_gemma":[0.001354333,0.0004333259,0.00098023,0.001879217,0.0001431431,0.001532238,0.000465805,0.000745734,0.005462947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002075083,"about_ca_system_score_gemma":0.00179534,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08882958,"about_ca_topic_score_gemma":0.1128473,"domain_scores_codex":[0.999607,0.00007320286,0.00002313881,0.00008279014,0.0001353909,0.00007849043],"domain_scores_gemma":[0.9996513,0.0000730719,0.00002614579,0.00005051425,0.0001728145,0.00002625152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0008161694,0.0003035161,0.04114472,0.0005716117,0.0003298936,0.0003566818,0.0003082749,0.6899977,0.01758116,0.0130853,0.08199454,0.1535105],"study_design_scores_gemma":[0.0003250118,0.0002142848,0.05240269,0.0003004331,0.0001836117,0.0001476651,0.0006068897,0.6653339,0.02663544,0.006684352,0.2469336,0.0002320662],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5328333,0.002525558,0.06095509,0.001561721,0.0005656221,0.0004611492,0.18646,0.009152013,0.2054856],"genre_scores_gemma":[0.8709559,0.0008597942,0.04257541,0.0002349583,0.0000412667,0.0004048117,0.04955536,0.003112239,0.03226034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9111704,"threshold_uncertainty_score":0.1766251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02006477752337586,"score_gpt":0.2707782842654859,"score_spread":0.2507135067421101,"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."}}