{"id":"W7061176379","doi":"","title":"PyroGenesis Canada informs HPQ Silicon Resources that Gen1 PUREVAPTMNSiR ready to start producing Silicon nano materials","year":2020,"lang":"en","type":"other","venue":"","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Silicon; Silicon valley; Materials processing; Materials testing; Semiconductor materials","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":[0.001039737,0.0007921337,0.0003235666,0.001001698,0.002087588,0.002285834,0.001084591,0.001609652,0.2405485],"category_scores_gemma":[0.001385291,0.0004993427,0.0004729455,0.0007335743,0.0009751205,0.001116467,0.001258301,0.001847609,0.06901716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008765982,"about_ca_system_score_gemma":0.02276353,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2538912,"about_ca_topic_score_gemma":0.4554537,"domain_scores_codex":[0.9987597,0.00003178817,0.000008186302,0.00006138444,0.00097663,0.0001622632],"domain_scores_gemma":[0.9984574,0.0001327798,0.00005551117,0.0001465584,0.0008904713,0.0003173768],"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":[0.0001980606,0.00008859127,0.0007046149,0.0002350628,0.00001640633,0.0001470148,0.00008800452,0.0008801321,0.02049832,0.03622416,0.8731036,0.06781605],"study_design_scores_gemma":[0.00002032446,0.00002567405,0.0005862312,0.00002366667,0.000002753372,0.00003045249,0.00004564615,0.0006856502,0.008554876,0.001834855,0.9881787,0.00001137618],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005229126,0.001082338,0.00658549,0.006257839,0.001067752,0.0002006909,0.01845499,0.005249459,0.9558724],"genre_scores_gemma":[0.02463885,0.0008873451,0.007765869,0.001606636,0.00008236626,0.00007411751,0.01212693,0.001678061,0.9511399],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7461088,"threshold_uncertainty_score":0.8047148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01638512742649699,"score_gpt":0.2335338323227018,"score_spread":0.2171487048962049,"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."}}