{"id":"W2801130857","doi":"","title":"Ontario's Volunteer Climate Network: Online Data Entry and Quality Control","year":2001,"lang":"en","type":"article","venue":"The 81st AMS Annual Meeting","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quality (philosophy); Control (management); Volunteer; Business; Internet privacy; Computer science; Artificial intelligence","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.009315622,0.0005974282,0.0007160887,0.0036843,0.003701235,0.003144961,0.001705925,0.0007889483,0.05099715],"category_scores_gemma":[0.02360215,0.0006535499,0.0004227833,0.008337998,0.0007901742,0.001694506,0.00241203,0.0007137294,0.01987619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009541835,"about_ca_system_score_gemma":0.06163823,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8423736,"about_ca_topic_score_gemma":0.8931007,"domain_scores_codex":[0.9936087,0.001262122,0.0005729519,0.0005174353,0.003135758,0.0009030027],"domain_scores_gemma":[0.9461555,0.005570685,0.002625357,0.008151474,0.03132304,0.006174013],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003825583,0.00008908716,0.02364877,0.0001577802,0.0000198161,0.00004655982,0.0005054778,0.0004893037,0.001064587,0.001051276,0.9043574,0.06818732],"study_design_scores_gemma":[0.0002331145,0.00005637746,0.08750024,0.0001161611,0.0000350422,0.00005041651,0.0008794973,0.005605478,0.001996282,0.001312525,0.9021191,0.00009566516],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.06608958,0.0009960879,0.05522366,0.0170715,0.001565288,0.007467387,0.4979975,0.02959322,0.3239958],"genre_scores_gemma":[0.2805252,0.00163129,0.08515574,0.003620426,0.0008480883,0.007560032,0.3563449,0.01036056,0.2539538],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9906844,"threshold_uncertainty_score":0.3171093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05260324508346813,"score_gpt":0.2864643090425467,"score_spread":0.2338610639590785,"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."}}