{"id":"W6945390123","doi":"10.25318/2710030201-eng","title":"Types of alliances or collaborative arrangements related to bioproducts, by industry and enterprise size","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":"Industry 4.0; Survey data collection; Enterprise system; Alliance","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":[0.0002311051,0.0003966826,0.0005217525,0.0001523469,0.00007331517,0.00005669062,0.0003000476,0.0003368971,0.000635066],"category_scores_gemma":[0.002648805,0.0003818877,0.000009496035,0.0007777408,0.0000989192,0.00009889896,0.00008791607,0.0004073759,0.00004578369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004883832,"about_ca_system_score_gemma":0.00111287,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0392782,"about_ca_topic_score_gemma":0.3651196,"domain_scores_codex":[0.9975607,0.0001160738,0.0005296149,0.0005867025,0.0009037207,0.0003032242],"domain_scores_gemma":[0.9973541,0.0005506371,0.0007540517,0.000461025,0.0006881625,0.0001920616],"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":[0.0001693,0.00006326824,0.0000899427,0.000398998,0.0001891188,0.00002720304,0.0001326363,0.00001090297,0.0007755053,0.00001244423,0.997484,0.0006466609],"study_design_scores_gemma":[0.0004052707,0.0002290173,0.002737482,0.0006901883,0.0002397354,0.000002543763,0.0008729213,0.00001288115,0.001439673,0.0000278862,0.9927672,0.0005752049],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001600982,0.0004666059,0.0000124578,0.000124901,0.0005892037,0.0009410142,0.9962319,0.00001069693,0.00002223954],"genre_scores_gemma":[0.001420381,0.0002487022,0.0006891325,0.00005610959,0.0000223917,0.00004667948,0.993397,0.000061208,0.004058389],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3258414,"threshold_uncertainty_score":0.9998633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007101359998243673,"score_gpt":0.2885832187086972,"score_spread":0.2814818587104536,"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."}}