{"id":"W7054348078","doi":"","title":"Amaro, Danny oral history interview","year":2013,"lang":"en","type":"other","venue":"Summit (Simon Fraser University)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Oral history; Work (physics); Pleasure; Trade union; George (robot)","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":[0.001644065,0.0003344124,0.0003664604,0.0009833449,0.01922703,0.004509971,0.0006800301,0.003854728,0.1591202],"category_scores_gemma":[0.005929512,0.0003797498,0.0001926288,0.00133439,0.001782382,0.004404397,0.00451981,0.006900367,0.023999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006126563,"about_ca_system_score_gemma":0.007357836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06367062,"about_ca_topic_score_gemma":0.1608746,"domain_scores_codex":[0.9988402,0.0002261112,0.00003007978,0.0001137861,0.0003264511,0.0004633622],"domain_scores_gemma":[0.997678,0.0004377387,0.0001210868,0.00006205922,0.0006475995,0.001053577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.000007173625,0.00003107593,0.0005686325,0.00002335188,4.581866e-7,0.0003340511,0.01019808,0.00000589471,0.00006681291,0.004702571,0.9778557,0.006206071],"study_design_scores_gemma":[0.000001613962,0.000003595092,0.0009734123,0.00006276536,3.823368e-7,0.0001031434,0.01783525,0.000006750738,0.00002039409,0.0003865105,0.9806014,0.000004703884],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01510005,0.002769398,0.0002512176,0.2678609,0.00778578,0.0002488631,0.001487729,0.00007623315,0.7044199],"genre_scores_gemma":[0.03316086,0.002303436,0.0001687433,0.07313056,0.001418296,0.0003171099,0.000289811,0.00008468937,0.8891265],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1591202,"threshold_uncertainty_score":0.5323101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01869601073387358,"score_gpt":0.2168451410134088,"score_spread":0.1981491302795352,"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."}}