{"id":"W1977673728","doi":"10.1027/0838-1925.19.4.169","title":"Inside the Pipeline","year":2007,"lang":"en","type":"article","venue":"Allergy & Clinical Immunology International - Journal of the World Allergy Organization","topic":"Water Governance and Infrastructure","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Pipeline (software); Geology; Computer science; Environmental science; Petroleum engineering; Programming language","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.003645163,0.000690706,0.0004259511,0.001017783,0.005078365,0.01194867,0.001190465,0.004080389,0.2224156],"category_scores_gemma":[0.01237904,0.0004267,0.0005528345,0.001051553,0.005441424,0.01493767,0.009701635,0.008931233,0.07776608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00361573,"about_ca_system_score_gemma":0.01076404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008468666,"about_ca_topic_score_gemma":0.008861525,"domain_scores_codex":[0.996548,0.0007729394,0.00008270911,0.0005800753,0.001183769,0.0008325583],"domain_scores_gemma":[0.9941387,0.0006914879,0.0002150118,0.0008937563,0.00159575,0.002465324],"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":[0.00003443082,0.00004300107,0.0007428591,0.00005700934,0.000007323856,0.0001150674,0.001998193,0.00009927645,0.0004046392,0.298733,0.6336485,0.06411685],"study_design_scores_gemma":[0.000003911003,0.00001012561,0.0002349749,0.00004928424,0.000001680278,0.00002925706,0.0008057004,0.00004957434,0.00007113723,0.02574514,0.9729931,0.000006172436],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003700512,0.003183306,0.008080314,0.2285956,0.008213605,0.00007994248,0.0003557948,0.0008378184,0.7469532],"genre_scores_gemma":[0.08436073,0.003469021,0.004064483,0.05986963,0.003733484,0.0001011655,0.0004656419,0.0009219982,0.8430139],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7775844,"threshold_uncertainty_score":0.7440543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0168179063801942,"score_gpt":0.328608945520569,"score_spread":0.3117910391403748,"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."}}