{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001044812,0.0006101098,0.0001159934,0.000959298,0.00382914,0.002830307,0.0006210746,0.001705209,0.01300744],"category_scores_gemma":[0.0007072779,0.0002856211,0.0002719191,0.0006162197,0.001275918,0.002057674,0.001002118,0.001279769,0.003259889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01104987,"about_ca_system_score_gemma":0.02581233,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6220816,"about_ca_topic_score_gemma":0.8870434,"domain_scores_codex":[0.9992163,0.00001847042,0.00001082842,0.0000572207,0.0005536246,0.000143431],"domain_scores_gemma":[0.9992998,0.00002077509,0.00002686943,0.00002314863,0.0003172988,0.0003120753],"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":[0.00007665171,0.00008409332,0.001502483,0.0001745932,0.000008213226,0.0002167543,0.0008663577,0.0001311324,0.01659861,0.02422871,0.8296854,0.126427],"study_design_scores_gemma":[0.000006375093,0.00001513058,0.0008505854,0.000017285,0.000002005258,0.00004508264,0.000203844,0.00004850153,0.001822483,0.0003222788,0.9966583,0.000008090291],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05136967,0.03523882,0.01515965,0.1385606,0.007784823,0.001107313,0.003074777,0.003196067,0.7445083],"genre_scores_gemma":[0.06423451,0.01300226,0.01845236,0.01262937,0.0003503474,0.00006454419,0.001315555,0.0005736091,0.8893774],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3779184,"threshold_uncertainty_score":0.760288,"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."}}