{"id":"W4406579146","doi":"10.1016/s1544-8800(06)70625-x","title":"10.1016/s1544-8800(06)70625-x","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Fish <Actinopterygii>; Cardiology; Internal medicine; Biology; Fishery","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":["insufficient_payload"],"category_scores_codex":[0.0008267447,0.002381097,0.001359687,0.00255253,0.001996933,0.003335913,0.002730835,0.005143492,0.9865246],"category_scores_gemma":[0.00129884,0.0007109874,0.00108211,0.002283868,0.001431774,0.004001327,0.002212214,0.00196636,0.9898354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001120137,"about_ca_system_score_gemma":0.001033839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004501909,"about_ca_topic_score_gemma":0.00346923,"domain_scores_codex":[0.9994767,0.00003361042,0.00003875194,0.0001794946,0.0001557157,0.0001157247],"domain_scores_gemma":[0.9984136,0.0003847425,0.0001185225,0.0001644182,0.0004058657,0.0005129136],"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":[0.0003033698,0.0002154197,0.0009074713,0.000560421,0.00003432665,0.0002463674,0.0001150164,0.0005070305,0.002690746,0.005625603,0.324347,0.6644473],"study_design_scores_gemma":[0.00003310958,0.00009773496,0.0005903142,0.0002175041,0.00001169014,0.0002542395,0.0001037145,0.0002190651,0.0005003333,0.0004366214,0.9975191,0.00001660297],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005296707,0.0004084982,0.0008801528,0.0003191129,0.0002510028,0.00009128248,0.0006831838,0.0008893757,0.9959478],"genre_scores_gemma":[0.0006337407,0.0001489504,0.0002840552,0.000112833,0.00004245717,0.00003448233,0.0002784934,0.0001143014,0.9983506],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01347542,"threshold_uncertainty_score":0.01922095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004234065726921922,"score_gpt":0.1572303097925657,"score_spread":0.1529962440656438,"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."}}