{"id":"W7095106234","doi":"","title":"Great Lakes-St. Lawrence Maritime Initiative Consultant Request for Proposal","year":2013,"lang":"en","type":"article","venue":"","topic":"Water Resources and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Scope (computer science); Position (finance); Task (project management); Task force","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004582902,0.0006016773,0.0005824321,0.001414801,0.003756905,0.003999298,0.002014553,0.006338576,0.4674837],"category_scores_gemma":[0.01688311,0.0007372782,0.000563158,0.001653039,0.0007005322,0.001525905,0.002480299,0.003016924,0.175098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006499541,"about_ca_system_score_gemma":0.04475152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07290058,"about_ca_topic_score_gemma":0.1567194,"domain_scores_codex":[0.9949681,0.0006445759,0.0002214834,0.000432363,0.002560938,0.001172634],"domain_scores_gemma":[0.9826201,0.001481433,0.0004214443,0.0006262311,0.01141263,0.003438154],"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":[0.00000905238,0.000008412027,0.00006530133,0.00002661099,4.205528e-7,0.00007003251,0.00003078459,0.000009635189,0.00004917628,0.000943938,0.9947498,0.004036672],"study_design_scores_gemma":[0.00001825973,0.00001630469,0.0005626514,0.00005056918,0.000001287683,0.00004189666,0.0002430202,0.00004297046,0.00003450505,0.0002383639,0.9987418,0.000008337388],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002521849,0.0009449911,0.001281059,0.1255793,0.01108101,0.00701774,0.01361664,0.001465026,0.8364924],"genre_scores_gemma":[0.003430328,0.0004059873,0.001073206,0.01563779,0.0008616548,0.001279875,0.002600351,0.0002518977,0.9744588],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4674837,"threshold_uncertainty_score":0.7595699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02919748560941109,"score_gpt":0.281115582621805,"score_spread":0.2519180970123939,"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."}}