{"id":"W2803675738","doi":"10.1002/lob.201120239","title":"INTEGRATING TERRESTRIAL AND AQUATIC P SCIENCE: EMERGING ISSUES WORKSHOP REPORT","year":2011,"lang":"en","type":"article","venue":"Limnology and Oceanography Bulletin","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Swift; Library science; Citation; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01039252,0.0008198324,0.0005601486,0.0009757906,0.001164661,0.006338504,0.001791283,0.002862564,0.02542869],"category_scores_gemma":[0.004419542,0.000339788,0.0006766407,0.001370357,0.0008899694,0.006682265,0.004574116,0.003640215,0.008314964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001220738,"about_ca_system_score_gemma":0.009902365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003820124,"about_ca_topic_score_gemma":0.006185083,"domain_scores_codex":[0.9985898,0.000230548,0.00007396427,0.0002543246,0.0004356609,0.0004156594],"domain_scores_gemma":[0.9931465,0.0008304967,0.0002257352,0.0002758629,0.002735081,0.002786282],"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":[0.0007515082,0.0007748045,0.004628338,0.001305581,0.0001177856,0.0005269665,0.0006721809,0.002099023,0.01310684,0.02052367,0.514421,0.4410723],"study_design_scores_gemma":[0.00009414747,0.0004842208,0.004520879,0.0005774326,0.0001028167,0.0003238081,0.002764036,0.003619831,0.0102165,0.0222998,0.954934,0.00006245998],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.07645346,0.0915486,0.1084418,0.3756974,0.09374462,0.001070802,0.006359712,0.001341487,0.2453422],"genre_scores_gemma":[0.3419553,0.08039039,0.1097104,0.02130844,0.03191995,0.0008511915,0.01019053,0.0009626086,0.4027112],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02542869,"threshold_uncertainty_score":0.08506739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02226627597070754,"score_gpt":0.2636877236554667,"score_spread":0.2414214476847592,"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."}}