{"id":"W6945000468","doi":"10.25318/2710023401-eng","title":"Innovation, logging and manufacturing industries, percentage of innovative plants engaged in innovation activities","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":"Logging; Wood industry; Manufacturing; Production (economics); Forest industry","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":[0.001027468,0.001336221,0.001365028,0.006225628,0.001139832,0.002247715,0.003461538,0.001318292,0.03896976],"category_scores_gemma":[0.007549348,0.0008142851,0.001533248,0.01353478,0.000400502,0.001251298,0.001289385,0.001838172,0.01754301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007267695,"about_ca_system_score_gemma":0.01428601,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8425568,"about_ca_topic_score_gemma":0.8861734,"domain_scores_codex":[0.9987462,0.00006922044,0.0001706519,0.0002558646,0.0004212805,0.000336883],"domain_scores_gemma":[0.9923608,0.0007365486,0.0009454972,0.0004442318,0.004937938,0.0005750985],"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":[0.00005403457,0.0000245253,0.007283097,0.0006005324,0.00005598771,0.00001453661,0.00003036591,0.0003036737,0.00003667232,0.0004980844,0.9894637,0.001634793],"study_design_scores_gemma":[0.0006851293,0.00004062577,0.1888163,0.001054013,0.0002161663,0.00009003136,0.000633251,0.001200321,0.0004462098,0.0007183305,0.8060039,0.00009566274],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002085101,0.00003823943,0.00001685251,0.00003090999,0.00001058596,0.000007910652,0.999323,0.00002719402,0.0003368385],"genre_scores_gemma":[0.001307314,0.00009087799,0.0001272919,0.00004480239,0.000009595273,0.00006242612,0.9965854,0.0000180578,0.001754276],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1574432,"threshold_uncertainty_score":0.3167407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02231611145399604,"score_gpt":0.283103374339416,"score_spread":0.2607872628854199,"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."}}