{"id":"W6998576259","doi":"","title":"Arbor Metals Unleashes Lithium Potential in Quebec’s Jarnet Project: A Technological Breakthrough","year":2023,"lang":"en","type":"other","venue":"","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Lithium (medication); Population; Context (archaeology); Production (economics)","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":[0.001581864,0.0007466883,0.0004625696,0.0009616067,0.004855413,0.003650651,0.0011734,0.001635632,0.02666713],"category_scores_gemma":[0.001338397,0.0002175834,0.0005330449,0.001034323,0.001016759,0.001327175,0.001935722,0.001609421,0.004487944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02749872,"about_ca_system_score_gemma":0.04678846,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9151062,"about_ca_topic_score_gemma":0.9646882,"domain_scores_codex":[0.998744,0.00007660687,0.00001314296,0.00009825641,0.0007161202,0.0003520329],"domain_scores_gemma":[0.9991452,0.00006591499,0.00002334042,0.00007023598,0.0005337686,0.0001616014],"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":[0.001545492,0.0008714175,0.01259394,0.0007673576,0.0001042842,0.001283318,0.001269258,0.007037937,0.04464964,0.07773337,0.4531674,0.3989766],"study_design_scores_gemma":[0.0001502955,0.0002496555,0.007264318,0.0001449906,0.00003970343,0.0001070301,0.0006276909,0.004759151,0.02207887,0.002574376,0.9619553,0.0000485315],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.170514,0.006431509,0.01237006,0.02725201,0.001555266,0.0006718164,0.006943844,0.002724693,0.7715369],"genre_scores_gemma":[0.2609643,0.002622093,0.008613271,0.002341844,0.0001277525,0.0001227404,0.00494929,0.0007007279,0.719558],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08489376,"threshold_uncertainty_score":0.1995181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01666394369453543,"score_gpt":0.2635149326863842,"score_spread":0.2468509889918487,"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."}}