{"id":"W758902924","doi":"","title":"Business advantages and opportunities at North Bay","year":2009,"lang":"en","type":"article","venue":"Docs.school Publications","topic":"Coastal and Marine Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Bay; Business; Oceanography; Geology","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":[0.0006837673,0.0001104557,0.0001013732,0.0006564726,0.002765086,0.003263395,0.0003116986,0.0005169893,0.07650054],"category_scores_gemma":[0.0009972041,0.0001386712,0.00009852953,0.001160304,0.0007806928,0.001732549,0.001333467,0.0005818271,0.006177634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003795384,"about_ca_system_score_gemma":0.003516613,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08524314,"about_ca_topic_score_gemma":0.4053659,"domain_scores_codex":[0.9995854,0.0000552548,0.000009273557,0.00004022384,0.0001320042,0.0001777635],"domain_scores_gemma":[0.9985223,0.0001313863,0.00007258593,0.00003277381,0.000225677,0.001015274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007859066,0.0004125629,0.2005878,0.0003799374,0.00001952156,0.002420447,0.02226689,0.0005173943,0.002905968,0.08284578,0.3282717,0.3585861],"study_design_scores_gemma":[0.00002415226,0.00009729286,0.3021251,0.000200981,0.00001177717,0.000281283,0.04391945,0.0003725511,0.0006387128,0.00402746,0.6482711,0.00003017835],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4394276,0.003031756,0.0001684457,0.02080953,0.0002530315,0.00002190063,0.0006686148,0.00008126037,0.5355378],"genre_scores_gemma":[0.559424,0.001846844,0.0001877471,0.0006799462,0.00006176894,0.00001089564,0.000320565,0.00003379401,0.4374344],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9147568,"threshold_uncertainty_score":0.2559198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01809455553456916,"score_gpt":0.2244020691022398,"score_spread":0.2063075135676707,"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."}}