{"id":"W4406413903","doi":"10.1016/s1544-8800(05)70292-x","title":"10.1016/s1544-8800(05)70292-x","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Internal medicine","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":[0.0008622146,0.001874463,0.001251942,0.002480819,0.00196282,0.003180705,0.002612828,0.004138114,0.9805714],"category_scores_gemma":[0.00109701,0.0006979317,0.001227763,0.002278407,0.001473786,0.003620464,0.002098617,0.002058083,0.9860336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001019195,"about_ca_system_score_gemma":0.001025862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002813675,"about_ca_topic_score_gemma":0.002365098,"domain_scores_codex":[0.9995127,0.00003215608,0.0000332558,0.0001677198,0.0001644101,0.00008975761],"domain_scores_gemma":[0.9985141,0.0003815555,0.0001029862,0.0001690528,0.0003575997,0.0004746955],"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":[0.0002947738,0.000175867,0.0006105676,0.0005406596,0.00004007919,0.0002186434,0.00008797378,0.0003244565,0.003484454,0.006599742,0.2895171,0.6981057],"study_design_scores_gemma":[0.00003411248,0.00006630319,0.0004354465,0.0001551125,0.00001135416,0.0002732109,0.00006070216,0.0001600158,0.0005825029,0.0005689788,0.9976363,0.00001612945],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004776035,0.0006043543,0.001210317,0.00039776,0.0003464212,0.00008552528,0.0005470247,0.0009401535,0.9953909],"genre_scores_gemma":[0.0005990569,0.0002626571,0.0004797357,0.0001532881,0.00006842116,0.00004229198,0.0003372436,0.0001243431,0.9979329],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01942861,"threshold_uncertainty_score":0.02771246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005108861915369131,"score_gpt":0.1731389434982065,"score_spread":0.1680300815828373,"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."}}