{"id":"W7037289612","doi":"","title":"Economics of bio-ingredients production from shrimp processing waste in Newfoundland","year":2002,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Nanocomposite Films for Food Packaging","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Production (economics); Shrimp; Reproduction; Productivity","routes":{"ca_aff":false,"ca_fund":true,"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":[0.00048822,0.0002844545,0.0001915392,0.0009511087,0.0006155217,0.001997774,0.0004810266,0.000357095,0.004290251],"category_scores_gemma":[0.0008646285,0.0003100126,0.0006048584,0.000913089,0.000447489,0.0007477351,0.0006019684,0.0003518204,0.000236816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02054073,"about_ca_system_score_gemma":0.004245472,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4776316,"about_ca_topic_score_gemma":0.6629131,"domain_scores_codex":[0.9996015,0.00006133279,0.0000203291,0.00004357117,0.0001098642,0.0001633062],"domain_scores_gemma":[0.9994199,0.0001897,0.0001786453,0.0000218344,0.0001174064,0.00007256988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003323203,0.0009233678,0.5787551,0.001251722,0.0005124501,0.01273436,0.0007181244,0.2038221,0.08270707,0.009414723,0.0042693,0.1015685],"study_design_scores_gemma":[0.00009199663,0.00109467,0.8988835,0.0003898532,0.0002772825,0.001428903,0.009242296,0.04216458,0.0298957,0.001154188,0.01526161,0.0001155238],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892291,0.0003790189,0.0004659732,0.00026318,0.000007272011,0.00005377047,0.0007027027,0.000008624716,0.008890368],"genre_scores_gemma":[0.9935784,0.0006551213,0.0005685564,0.00003869741,0.000002981355,0.00002331669,0.0004475934,0.00000463433,0.004680716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5223684,"threshold_uncertainty_score":0.949703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01560940970718706,"score_gpt":0.2308915288246814,"score_spread":0.2152821191174943,"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."}}