{"id":"W6907507839","doi":"10.25318/3410005901-eng","title":"Production, shipments and stocks of construction type plywood and pulp chips","year":2019,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pulp (tooth); Stock (firearms); Table (database); Carbon stock; Pulpwood","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002372353,0.0003093445,0.0003822334,0.0002372597,0.0001168528,0.00004467389,0.0001139506,0.0001668381,0.00008949859],"category_scores_gemma":[0.001192769,0.0003472121,0.000008251908,0.0002865204,0.0001855312,0.0001119887,0.00006130835,0.0002683291,0.000008272095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003178507,"about_ca_system_score_gemma":0.000660195,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0457035,"about_ca_topic_score_gemma":0.3780132,"domain_scores_codex":[0.9980276,0.00008854915,0.0004637542,0.0004958529,0.0006989668,0.0002253077],"domain_scores_gemma":[0.9980845,0.0001650014,0.0006809765,0.0003718595,0.000579021,0.0001186503],"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":[0.00005006798,0.00002720423,0.0004121968,0.0007133114,0.00007665552,0.00000464067,0.00004357898,0.000005489235,0.0001765177,0.0001516705,0.9962601,0.002078558],"study_design_scores_gemma":[0.001483681,0.0006397062,0.1713825,0.001704299,0.001929872,0.0003311032,0.001606758,0.0002741542,0.001645673,0.002180677,0.8143216,0.002499907],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003219136,0.0001786725,0.00005726468,0.00002717722,0.001269579,0.0006151989,0.9946073,0.00001417145,0.00001146809],"genre_scores_gemma":[0.007803181,0.000165141,0.0009921265,0.000007636148,0.00007232615,0.00001591424,0.9906599,0.0000475653,0.0002362195],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3323097,"threshold_uncertainty_score":0.999898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009506943560422504,"score_gpt":0.2611996200804529,"score_spread":0.2516926765200305,"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."}}