{"id":"W7071175215","doi":"","title":"Rx3 project : recycling receptacle for Vancouver","year":2014,"lang":"en","type":"other","venue":"Arca (British Columbia Electronic Library Network)","topic":"Mathematics, Computing, and Information Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Receptacle; Production (economics); Work (physics); Key (lock)","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":[],"consensus_categories":[],"category_scores_codex":[0.001780989,0.001032738,0.0006113625,0.002141993,0.007382161,0.006609323,0.001922383,0.001796039,0.2893225],"category_scores_gemma":[0.002652161,0.000540173,0.0005499641,0.002148002,0.0007076427,0.001651599,0.003388004,0.00222787,0.09594969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009375015,"about_ca_system_score_gemma":0.03591693,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6554408,"about_ca_topic_score_gemma":0.7974016,"domain_scores_codex":[0.9987301,0.00009831158,0.00002112758,0.0001360793,0.000739522,0.000274925],"domain_scores_gemma":[0.997434,0.00007895786,0.00003644057,0.0002022516,0.001556996,0.0006914061],"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":[0.0003262652,0.0001346294,0.001620815,0.0001823987,0.0000166279,0.0001369725,0.000303994,0.0006428732,0.001069253,0.01865596,0.8520908,0.1248195],"study_design_scores_gemma":[0.00004027572,0.00004030657,0.001382707,0.00006805222,0.000008577526,0.00004311659,0.0004292229,0.0008147717,0.001117814,0.002431578,0.993604,0.00001947932],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01369558,0.001782878,0.008901963,0.006376728,0.001606214,0.0006840238,0.03833278,0.00979237,0.9188275],"genre_scores_gemma":[0.02424809,0.0006059102,0.006443444,0.0004215788,0.00004510152,0.0001542049,0.01128285,0.002290894,0.9545079],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3445592,"threshold_uncertainty_score":0.9678801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006108163160424585,"score_gpt":0.1995119188627356,"score_spread":0.193403755702311,"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."}}