{"id":"W7011086328","doi":"","title":"Machine vision based grain handling system","year":2002,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Preterm Birth and Chorioamnionitis","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Artificial neural network; Pattern recognition (psychology); Sample (material); Backpropagation; Probabilistic logic; Line (geometry); Field (mathematics)","routes":{"ca_aff":false,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0004253985,0.0008946744,0.0011015,0.001243667,0.0005704249,0.001486037,0.001568547,0.001125993,0.02001411],"category_scores_gemma":[0.0005418406,0.0003275852,0.0006120128,0.0009832222,0.000192755,0.0007800147,0.0005731417,0.0006851935,0.0118919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006462698,"about_ca_system_score_gemma":0.0007544977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003840546,"about_ca_topic_score_gemma":0.00267826,"domain_scores_codex":[0.9995945,0.00002037896,0.00002799097,0.0001698542,0.0001327784,0.00005455164],"domain_scores_gemma":[0.9996535,0.00003805791,0.00002488054,0.00005168871,0.0002135734,0.00001834306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006071493,0.000293353,0.002402758,0.0004882547,0.00009441304,0.0003599912,0.00008343038,0.01760921,0.08720412,0.001874003,0.04310584,0.8458775],"study_design_scores_gemma":[0.0001542769,0.0006543021,0.0148828,0.0001147398,0.000160073,0.0006782165,0.0001167611,0.7824333,0.09086727,0.003978468,0.1058116,0.0001481858],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0602869,0.001507763,0.8203657,0.0003865559,0.0008217047,0.001310378,0.005799858,0.0754658,0.03405542],"genre_scores_gemma":[0.4591801,0.0009884883,0.4642273,0.0008497816,0.0002166584,0.001675281,0.015712,0.0006887814,0.05646177],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02001411,"threshold_uncertainty_score":0.06695384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009723604632448413,"score_gpt":0.2081040371985465,"score_spread":0.1983804325660981,"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."}}