{"id":"W2809838466","doi":"","title":"Canadian Wollastonite: : Developing a white mineral for green markets","year":2016,"lang":"en","type":"article","venue":"Industrial Minerals","topic":"Minerals Flotation and Separation Techniques","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wollastonite; Agriculture; Greenhouse; Agricultural economics; Business; Christian ministry; Engineering; Natural resource economics; Chemistry; Geography; Political science; Agronomy; Economics; Archaeology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003751901,0.0001826256,0.0001876114,0.000128194,0.0001419713,0.00004202077,0.0002253267,0.000191448,0.004618094],"category_scores_gemma":[0.0002234984,0.0001334114,0.00007316064,0.0002578785,0.00006456007,0.0002728694,0.00004534789,0.0000663313,0.0002760363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004877535,"about_ca_system_score_gemma":0.0001358422,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02442927,"about_ca_topic_score_gemma":0.09564504,"domain_scores_codex":[0.9986101,0.00007327621,0.0003543372,0.0003273805,0.0001989917,0.0004358543],"domain_scores_gemma":[0.9993011,0.0001012598,0.00009847342,0.0001945497,0.00003141364,0.0002731948],"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":[0.00007271998,0.00001148236,0.01579611,0.00000206561,0.000011737,0.000004221477,0.0001209402,0.000006469861,0.08699142,0.000492474,0.8437877,0.05270267],"study_design_scores_gemma":[0.00116429,0.00006653663,0.003610933,0.00003256851,0.000007924349,0.000006162953,0.00001217168,0.00007779859,0.006216682,0.0006579035,0.9878379,0.0003091498],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8165401,0.00001799268,0.005015276,0.05676641,0.00092687,0.002192688,0.000287152,0.0003140355,0.1179395],"genre_scores_gemma":[0.4455853,0.000009743359,0.009204997,0.003147041,0.0009016367,0.0004442822,0.00005473735,0.00005737565,0.5405949],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4226554,"threshold_uncertainty_score":0.9962918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04460581892180521,"score_gpt":0.2696823384368487,"score_spread":0.2250765195150435,"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."}}