{"id":"W7048189428","doi":"","title":"Kill Your Darlings: What an Academic Makerspace Learned Voiding Our Warranties on our 3D Printers","year":2016,"lang":"en","type":"article","venue":"HIMALAYA","topic":"Lightning and Electromagnetic Phenomena","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Variety (cybernetics); Scholarship; Order (exchange); Digital scholarship; 3d printer","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002357271,0.000274202,0.0002528297,0.0000971668,0.000174475,0.000136696,0.0003156055,0.00007639855,0.00005954793],"category_scores_gemma":[0.00001458853,0.0001954732,0.00009985187,0.0001002554,0.00002629964,0.0006133142,0.00006630445,0.0003493601,0.0002743769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006212966,"about_ca_system_score_gemma":0.00004631371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002812388,"about_ca_topic_score_gemma":6.079799e-7,"domain_scores_codex":[0.9984413,0.00007512695,0.0002242122,0.0004671302,0.0001753071,0.0006168729],"domain_scores_gemma":[0.9992494,0.00002815912,0.0001337843,0.000362643,0.00004385176,0.0001821921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006601756,0.0005855006,0.08851744,0.00007364582,0.0005425434,0.00001360401,0.0209811,0.000209594,0.4962984,0.02462547,0.02287929,0.3446132],"study_design_scores_gemma":[0.01821048,0.007850468,0.01926302,0.005756283,0.0006250049,0.00004633879,0.3668338,0.002207493,0.2844783,0.0280305,0.259108,0.007590226],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856959,0.0001424851,0.0007002666,0.008946219,0.000588705,0.0001459769,0.000008148274,0.0001369886,0.00363529],"genre_scores_gemma":[0.9895907,0.00004734519,0.0003464087,0.0001772799,0.0008788147,0.00002000224,0.000007689968,0.00005008641,0.008881689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3458527,"threshold_uncertainty_score":0.7971165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03232601773901339,"score_gpt":0.2978548216714429,"score_spread":0.2655288039324295,"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."}}